add veg fvc method
This commit is contained in:
copper
parent
3c196f47fd
commit
a49fb5f81c
@ -1 +1 @@
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IEhM2L0c7TWXeIEGUm8n1nMToPxkWiapMjEFtLFLHad4a1+2IKcrD2wbRobBLmTIdux5iOV+AV+t2JY75+w5NAU+umtYPWmpbAiphAQ1S8s8/h7fclRBU6Ym8oXDxCmZoWpCLCpJd8lE/R3nfKBoexDRYXecz/lw58wkdZbHktpNVKfjoe827/aKa7gmYNXO
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vd4FiYncytyziGH9GNCAA8hGGr1/79Xmphtc5+PHPJDpxvqj1hP7+985QMojYO4M5Qn/aqEAvFgeDN3CA8x1YAK8SdCgSXSBJpRBK8wqPQjBY1ak96QfdPCrTLunr+xuPxK3Gxe772adTTsee2+ot7WePYUsC4y4NcS5+rlP1if87xtYqVeSwx3c64cOmAGP
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@ -85,10 +85,18 @@ class ExportPlugin(BasicPlugin):
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self.export_txt = QAction(IconInstance().DOCUMENT, '导出为 Arcgis 兼容的TXT', self.mainwindow)
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self.export_txt.triggered.connect(self.export_txt_action)
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self.export_bin = QAction(IconInstance().DOCUMENT, '导出栅格二值变化检测结果')
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self.export_bin.triggered.connect(self.export_bin_action)
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ActionManager().export_menu.addAction(self.export_txt)
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# self.ctx['toolbar'].addAction(self.export_txt)
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def export_bin_action(self):
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dialog = ExportDialog(self.mainwindow)
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if dialog.exec_():
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result = dialog.result_layer
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out = dialog.out_path
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def export_txt_action(self):
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dialog = ExportDialog(self.mainwindow)
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if dialog.exec_():
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@ -1,8 +1,3 @@
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from .SH import SH
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from .LHBA import LHBA
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from .OCD import OCD
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from .AHT import AHT
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from .ACD import ACD
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import numpy as np
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from datetime import datetime
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from osgeo import gdal
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@ -18,699 +13,4 @@ from misc import Register, AlgFrontend
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VEG_CD = Register('植被变化检测方法')
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@VEG_CD.register
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class BasicCD(AlgFrontend):
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@staticmethod
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def get_name():
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return '植被覆盖度变化'
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@staticmethod
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def get_icon():
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return IconInstance().VEGETATION
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@staticmethod
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def run_alg(pth1: str, pth2: str, layer_parent: PairLayer, send_message=None, *args, **kargs):
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ds1: gdal.Dataset = gdal.Open(pth1)
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ds2: gdal.Dataset = gdal.Open(pth2)
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cell_size = layer_parent.cell_size
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xsize = layer_parent.size[0]
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ysize = layer_parent.size[1]
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band = ds1.RasterCount
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yblocks = ysize // cell_size[1]
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driver = gdal.GetDriverByName('GTiff')
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out_tif = os.path.join(Project().other_path, 'temp.tif')
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out_ds = driver.Create(out_tif, xsize, ysize, 1, gdal.GDT_Float32)
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geo = layer_parent.grid.geo
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proj = layer_parent.grid.proj
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out_ds.SetGeoTransform(geo)
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out_ds.SetProjection(proj)
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max_diff = 0
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min_diff = math.inf
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start1x, start1y = geo2imageRC(ds1.GetGeoTransform(
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), layer_parent.mask.xy[0], layer_parent.mask.xy[1])
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end1x, end1y = geo2imageRC(ds1.GetGeoTransform(
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), layer_parent.mask.xy[2], layer_parent.mask.xy[3])
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start2x, start2y = geo2imageRC(ds2.GetGeoTransform(
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), layer_parent.mask.xy[0], layer_parent.mask.xy[1])
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end2x, end2y = geo2imageRC(ds2.GetGeoTransform(
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), layer_parent.mask.xy[2], layer_parent.mask.xy[3])
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for j in range(yblocks + 1): # 该改这里了
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if send_message is not None:
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send_message.emit(f'计算{j}/{yblocks}')
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block_xy1 = (start1x, start1y+j * cell_size[1])
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block_xy2 = (start2x, start2y+j*cell_size[1])
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block_xy = (0, j * cell_size[1])
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if block_xy1[1] > end1y or block_xy2[1] > end2y:
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break
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block_size = (xsize, cell_size[1])
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block_size1 = (xsize, cell_size[1])
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block_size2 = (xsize, cell_size[1])
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if block_xy[1] + block_size[1] > ysize:
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block_size = (xsize, ysize - block_xy[1])
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if block_xy1[1] + block_size1[1] > end1y:
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block_size1 = (xsize, end1y - block_xy1[1])
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if block_xy2[1] + block_size2[1] > end2y:
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block_size2 = (xsize, end2y - block_xy2[1])
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block_data1 = ds1.ReadAsArray(*block_xy1, *block_size1)
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block_data2 = ds2.ReadAsArray(*block_xy2, *block_size2)
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if band == 1:
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block_data1 = block_data1[None, ...]
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block_data2 = block_data2[None, ...]
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# pdb.set_trace()
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block_diff = block_data1.sum(0) - block_data2.sum(0)
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block_diff = block_diff.astype(np.float32)
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block_diff = np.abs(block_diff)
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min_diff = min(min_diff, block_diff[block_diff > 0].min())
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max_diff = max(max_diff, block_diff.max())
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out_ds.GetRasterBand(1).WriteArray(block_diff, *block_xy)
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if send_message is not None:
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send_message.emit(f'完成{j}/{yblocks}')
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del ds2
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del ds1
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out_ds.FlushCache()
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del out_ds
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if send_message is not None:
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send_message.emit('归一化概率中...')
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temp_in_ds = gdal.Open(out_tif)
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out_normal_tif = os.path.join(Project().cmi_path, '{}_{}_cmi.tif'.format(
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layer_parent.name, int(np.random.rand() * 100000)))
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out_normal_ds = driver.Create(
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out_normal_tif, xsize, ysize, 1, gdal.GDT_Byte)
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out_normal_ds.SetGeoTransform(geo)
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out_normal_ds.SetProjection(proj)
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# hist = np.zeros(256, dtype=np.int32)
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for j in range(yblocks+1):
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block_xy = (0, j * cell_size[1])
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if block_xy[1] > ysize:
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break
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block_size = (xsize, cell_size[1])
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if block_xy[1] + block_size[1] > ysize:
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block_size = (xsize, ysize - block_xy[1])
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block_data = temp_in_ds.ReadAsArray(*block_xy, *block_size)
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block_data = (block_data - min_diff) / (max_diff - min_diff) * 255
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block_data = block_data.astype(np.uint8)
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out_normal_ds.GetRasterBand(1).WriteArray(block_data, *block_xy)
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# hist_t, _ = np.histogram(block_data, bins=256, range=(0, 256))
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# hist += hist_t
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# print(hist)
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del temp_in_ds
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del out_normal_ds
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try:
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os.remove(out_tif)
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except:
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pass
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if send_message is not None:
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send_message.emit('差分法计算完成')
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return out_normal_tif
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@VEG_CD.register
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class LSTS(AlgFrontend):
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@staticmethod
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def get_name():
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return 'LSTS'
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@staticmethod
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def get_widget(parent=None):
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widget = QtWidgets.QWidget(parent)
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return widget
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@staticmethod
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def get_params(widget=None):
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return dict(n=5, w_size=(3, 3))
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@staticmethod
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def run_alg(pth1: str, pth2: str, layer_parent: PairLayer, send_message=None, n=5, w_size=(3, 3), *args, **kws):
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ds1: gdal.Dataset = gdal.Open(pth1)
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ds2: gdal.Dataset = gdal.Open(pth2)
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cell_size = layer_parent.cell_size
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xsize = layer_parent.size[0]
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ysize = layer_parent.size[1]
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band = ds1.RasterCount
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yblocks = ysize // cell_size[1]
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driver = gdal.GetDriverByName('GTiff')
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out_tif = os.path.join(Project().other_path, '%d.tif' % (
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int(datetime.now().timestamp() * 1000)))
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out_ds = driver.Create(out_tif, xsize, ysize, 1, gdal.GDT_Float32)
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geo = layer_parent.grid.geo
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proj = layer_parent.grid.proj
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out_ds.SetGeoTransform(geo)
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out_ds.SetProjection(proj)
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pixnum = w_size[0]*w_size[1]
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# send_message.emit('pixnum:'pixnum)
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max_diff = 0
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min_diff = math.inf
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win_h = w_size[0]//2 # half hight of window
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win_w = w_size[1]//2 # half width of window
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a = [[(i+1)**j for j in range(n+1)] for i in range(pixnum)]
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A = np.array(a).astype(np.float64)
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k_ = np.array(range(1, n+1))
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df1 = np.zeros(pixnum).astype(np.float64)
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df2 = np.zeros(pixnum).astype(np.float64)
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start1x, start1y = geo2imageRC(ds1.GetGeoTransform(
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), layer_parent.mask.xy[0], layer_parent.mask.xy[1])
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end1x, end1y = geo2imageRC(ds1.GetGeoTransform(
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), layer_parent.mask.xy[2], layer_parent.mask.xy[3])
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start2x, start2y = geo2imageRC(ds2.GetGeoTransform(
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), layer_parent.mask.xy[0], layer_parent.mask.xy[1])
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end2x, end2y = geo2imageRC(ds2.GetGeoTransform(
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), layer_parent.mask.xy[2], layer_parent.mask.xy[3])
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for j in range(yblocks + 1):
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if send_message is not None:
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send_message.emit(f'计算{j}/{yblocks}')
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block_xy1 = (start1x, start1y+j * cell_size[1])
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block_xy2 = (start2x, start2y+j*cell_size[1])
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block_xy = (0, j * cell_size[1])
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if block_xy1[1] > end1y or block_xy2[1] > end2y:
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break
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block_size = (xsize, cell_size[1])
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block_size1 = (xsize, cell_size[1])
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block_size2 = (xsize, cell_size[1])
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if block_xy[1] + block_size[1] > ysize:
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block_size = (xsize, ysize - block_xy[1])
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if block_xy1[1] + block_size1[1] > end1y:
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block_size1 = (xsize, end1y - block_xy1[1])
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if block_xy2[1] + block_size2[1] > end2y:
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block_size2 = (xsize, end2y - block_xy2[1])
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block_data1 = ds1.ReadAsArray(*block_xy1, *block_size1)
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block_data2 = ds2.ReadAsArray(*block_xy2, *block_size2)
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if band == 1:
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block_data1 = block_data1[None, ...]
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block_data2 = block_data2[None, ...]
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# pdb.set_trace()
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else:
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block_data1 = np.mean(block_data1, 0)
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block_data2 = np.mean(block_data2, 0)
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block_diff = np.zeros(block_data1.shape).astype(np.float64)
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for i in range(win_h, block_size1[1]-win_h):
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for j_ in range(win_w, block_size1[0]-win_w):
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pix = 0
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# get b
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# b1=block_data[i+win_h:i+win_h] c in range(j_-win_w,j_+win_w+1)
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b1 = block_data1[i-win_h:i+win_h+1, j_-win_w:j_+win_w+1]
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b2 = block_data2[i-win_h:i+win_h+1, j_-win_w:j_+win_w+1]
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b1 = [b if (r+1)//2 else b[::-1] for r, b in enumerate(b1)]
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b2 = [b if (r+1)//2 else b[::-1] for r, b in enumerate(b2)]
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b1 = np.expand_dims(np.concatenate(b1, 0), 1)
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b2 = np.expand_dims(np.concatenate(b2, 0), 1)
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x1 = np.squeeze(np.linalg.pinv(A).dot(b1))
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x2 = np.squeeze(np.linalg.pinv(A).dot(b2))
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# df
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k_ = range(1, n+1)
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for pix in range(1, pixnum+1):
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df1[pix-1] = x1[1:n +
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1].dot(np.array([k*(pix**(k-1)) for k in k_]))
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df2[pix-1] = x2[1:n +
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1].dot(np.array([k*(pix**(k-1)) for k in k_]))
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# distance 欧式距离
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block_diff[i][j_] = np.dot(df1-df2, df1-df2)**0.5
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min_diff = min(min_diff, block_diff[block_diff > 0].min())
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max_diff = max(max_diff, block_diff.max())
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out_ds.GetRasterBand(1).WriteArray(block_diff, *block_xy)
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send_message.emit(f'完成{j}/{yblocks}')
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del ds2
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del ds1
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out_ds.FlushCache()
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del out_ds
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if send_message is not None:
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send_message.emit('归一化概率中...')
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temp_in_ds = gdal.Open(out_tif)
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out_normal_tif = os.path.join(Project().cmi_path, '{}_{}_cmi.tif'.format(
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layer_parent.name, int(np.random.rand() * 100000)))
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out_normal_ds = driver.Create(
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out_normal_tif, xsize, ysize, 1, gdal.GDT_Byte)
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out_normal_ds.SetGeoTransform(geo)
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out_normal_ds.SetProjection(proj)
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# hist = np.zeros(256, dtype=np.int32)
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for j in range(yblocks+1):
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block_xy = (0, j * cell_size[1])
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if block_xy[1] > ysize:
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break
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block_size = (xsize, cell_size[1])
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if block_xy[1] + block_size[1] > ysize:
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block_size = (xsize, ysize - block_xy[1])
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block_data = temp_in_ds.ReadAsArray(*block_xy, *block_size)
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block_data = (block_data - min_diff) / (max_diff - min_diff) * 255
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block_data = block_data.astype(np.uint8)
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out_normal_ds.GetRasterBand(1).WriteArray(block_data, *block_xy)
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# hist_t, _ = np.histogram(block_data, bins=256, range=(0, 256))
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# hist += hist_t
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# print(hist)
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del temp_in_ds
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del out_normal_ds
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try:
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os.remove(out_tif)
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except:
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pass
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if send_message is not None:
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send_message.emit('LSTS法计算完成')
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return out_normal_tif
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@VEG_CD.register
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class CVAAlg(AlgFrontend):
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@staticmethod
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def get_name():
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return 'CVA'
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@staticmethod
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def run_alg(pth1: str, pth2: str, layer_parent: PairLayer, send_message=None, *args, **kargs):
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ds1: gdal.Dataset = gdal.Open(pth1)
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ds2: gdal.Dataset = gdal.Open(pth2)
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cell_size = layer_parent.cell_size
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xsize = layer_parent.size[0]
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ysize = layer_parent.size[1]
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band = ds1.RasterCount
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yblocks = ysize // cell_size[1]
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driver = gdal.GetDriverByName('GTiff')
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out_tif = os.path.join(Project().other_path, 'temp.tif')
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out_ds = driver.Create(out_tif, xsize, ysize, 1, gdal.GDT_Float32)
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geo = layer_parent.grid.geo
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proj = layer_parent.grid.proj
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out_ds.SetGeoTransform(geo)
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out_ds.SetProjection(proj)
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max_diff = 0
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min_diff = math.inf
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start1x, start1y = geo2imageRC(ds1.GetGeoTransform(
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), layer_parent.mask.xy[0], layer_parent.mask.xy[1])
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end1x, end1y = geo2imageRC(ds1.GetGeoTransform(
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), layer_parent.mask.xy[2], layer_parent.mask.xy[3])
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start2x, start2y = geo2imageRC(ds2.GetGeoTransform(
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), layer_parent.mask.xy[0], layer_parent.mask.xy[1])
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end2x, end2y = geo2imageRC(ds2.GetGeoTransform(
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), layer_parent.mask.xy[2], layer_parent.mask.xy[3])
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for j in range(yblocks + 1):
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if send_message is not None:
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send_message.emit(f'计算{j}/{yblocks}')
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block_xy1 = (start1x, start1y+j * cell_size[1])
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block_xy2 = (start2x, start2y+j*cell_size[1])
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block_xy = (0, j * cell_size[1])
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if block_xy1[1] > end1y or block_xy2[1] > end2y:
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break
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block_size = (xsize, cell_size[1])
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block_size1 = (xsize, cell_size[1])
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block_size2 = (xsize, cell_size[1])
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if block_xy[1] + block_size[1] > ysize:
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block_size = (xsize, ysize - block_xy[1])
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if block_xy1[1] + block_size1[1] > end1y:
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block_size1 = (xsize, end1y - block_xy1[1])
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if block_xy2[1] + block_size2[1] > end2y:
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block_size2 = (xsize, end2y - block_xy2[1])
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block_data1 = ds1.ReadAsArray(*block_xy1, *block_size1)
|
||||
block_data2 = ds2.ReadAsArray(*block_xy2, *block_size2)
|
||||
|
||||
if band == 1:
|
||||
block_data1 = block_data1[None, ...]
|
||||
block_data2 = block_data2[None, ...]
|
||||
# pdb.set_trace()
|
||||
block_diff = np.sum((block_data1-block_data2)**2, 0)**0.5
|
||||
min_diff = min(min_diff, block_diff[block_diff > 0].min())
|
||||
max_diff = max(max_diff, block_diff.max())
|
||||
out_ds.GetRasterBand(1).WriteArray(block_diff, *block_xy)
|
||||
if send_message is not None:
|
||||
send_message.emit(f'完成{j}/{yblocks}')
|
||||
del ds2
|
||||
del ds1
|
||||
out_ds.FlushCache()
|
||||
del out_ds
|
||||
if send_message is not None:
|
||||
send_message.emit('归一化概率中...')
|
||||
temp_in_ds = gdal.Open(out_tif)
|
||||
|
||||
out_normal_tif = os.path.join(Project().cmi_path, '{}_{}_cmi.tif'.format(
|
||||
layer_parent.name, int(np.random.rand() * 100000)))
|
||||
out_normal_ds = driver.Create(
|
||||
out_normal_tif, xsize, ysize, 1, gdal.GDT_Byte)
|
||||
out_normal_ds.SetGeoTransform(geo)
|
||||
out_normal_ds.SetProjection(proj)
|
||||
# hist = np.zeros(256, dtype=np.int32)
|
||||
for j in range(yblocks+1):
|
||||
block_xy = (0, j * cell_size[1])
|
||||
if block_xy[1] > ysize:
|
||||
break
|
||||
block_size = (xsize, cell_size[1])
|
||||
if block_xy[1] + block_size[1] > ysize:
|
||||
block_size = (xsize, ysize - block_xy[1])
|
||||
block_data = temp_in_ds.ReadAsArray(*block_xy, *block_size)
|
||||
block_data = (block_data - min_diff) / (max_diff - min_diff) * 255
|
||||
block_data = block_data.astype(np.uint8)
|
||||
out_normal_ds.GetRasterBand(1).WriteArray(block_data, *block_xy)
|
||||
# hist_t, _ = np.histogram(block_data, bins=256, range=(0, 256))
|
||||
# hist += hist_t
|
||||
# print(hist)
|
||||
del temp_in_ds
|
||||
del out_normal_ds
|
||||
try:
|
||||
os.remove(out_tif)
|
||||
except:
|
||||
pass
|
||||
if send_message is not None:
|
||||
send_message.emit('欧式距离计算完成')
|
||||
return out_normal_tif
|
||||
|
||||
|
||||
@VEG_CD.register
|
||||
class ACDAlg(AlgFrontend):
|
||||
|
||||
@staticmethod
|
||||
def get_name():
|
||||
return 'ACD'
|
||||
|
||||
@staticmethod
|
||||
def run_alg(pth1: str, pth2: str, layer_parent: PairLayer, send_message=None, *args, **kargs):
|
||||
|
||||
if send_message is None:
|
||||
class Empty:
|
||||
|
||||
def emit(self, *args, **kws):
|
||||
print(args)
|
||||
send_message = Empty()
|
||||
# send_message.emit = print
|
||||
|
||||
xsize = layer_parent.size[0]
|
||||
ysize = layer_parent.size[1]
|
||||
geo = layer_parent.grid.geo
|
||||
proj = layer_parent.grid.proj
|
||||
# 提取公共部分
|
||||
send_message.emit('提取重叠区域数据.....')
|
||||
|
||||
ds2: gdal.Dataset = gdal.Open(pth2)
|
||||
temp_tif2 = os.path.join(Project().other_path, 'temp2.tif')
|
||||
start2x, start2y = geo2imageRC(ds2.GetGeoTransform(
|
||||
), layer_parent.mask.xy[0], layer_parent.mask.xy[1])
|
||||
end2x, end2y = geo2imageRC(ds2.GetGeoTransform(
|
||||
), layer_parent.mask.xy[2], layer_parent.mask.xy[3])
|
||||
warp(temp_tif2, ds2, srcWin=[start2x, start2y, xsize, ysize])
|
||||
del ds2
|
||||
send_message.emit('图像二提取完成')
|
||||
|
||||
ds1: gdal.Dataset = gdal.Open(pth1)
|
||||
temp_tif1 = os.path.join(Project().other_path, 'temp1.tif')
|
||||
start1x, start1y = geo2imageRC(ds1.GetGeoTransform(
|
||||
), layer_parent.mask.xy[0], layer_parent.mask.xy[1])
|
||||
end1x, end1y = geo2imageRC(ds1.GetGeoTransform(
|
||||
), layer_parent.mask.xy[2], layer_parent.mask.xy[3])
|
||||
warp(temp_tif1, ds1, srcWin=[start1x, start1y, xsize, ysize])
|
||||
del ds1
|
||||
send_message.emit('图像一提取完成')
|
||||
|
||||
# 运算
|
||||
send_message.emit('开始ACD计算.....')
|
||||
time.sleep(0.1)
|
||||
out_normal_tif = os.path.join(Project().cmi_path, '{}_{}_cmi.tif'.format(
|
||||
layer_parent.name, int(np.random.rand() * 100000)))
|
||||
ACD(temp_tif1, temp_tif2, out_normal_tif)
|
||||
# 添加投影
|
||||
send_message.emit('录入投影信息.....')
|
||||
time.sleep(0.1)
|
||||
ds = gdal.Open(out_normal_tif, 1)
|
||||
ds.SetGeoTransform(geo)
|
||||
ds.SetProjection(proj)
|
||||
del ds
|
||||
|
||||
return out_normal_tif
|
||||
|
||||
|
||||
@VEG_CD.register
|
||||
class AHTAlg(AlgFrontend):
|
||||
|
||||
@staticmethod
|
||||
def get_name():
|
||||
return 'AHT'
|
||||
|
||||
@staticmethod
|
||||
def run_alg(pth1: str, pth2: str, layer_parent: PairLayer, send_message=None, *args, **kargs):
|
||||
|
||||
if send_message is None:
|
||||
class Empty:
|
||||
|
||||
def emit(self, *args, **kws):
|
||||
print(args)
|
||||
send_message = Empty()
|
||||
|
||||
xsize = layer_parent.size[0]
|
||||
ysize = layer_parent.size[1]
|
||||
geo = layer_parent.grid.geo
|
||||
proj = layer_parent.grid.proj
|
||||
# 提取公共部分
|
||||
send_message.emit('提取重叠区域数据.....')
|
||||
|
||||
ds2: gdal.Dataset = gdal.Open(pth2)
|
||||
temp_tif2 = os.path.join(Project().other_path, 'temp2.tif')
|
||||
start2x, start2y = geo2imageRC(ds2.GetGeoTransform(
|
||||
), layer_parent.mask.xy[0], layer_parent.mask.xy[1])
|
||||
end2x, end2y = geo2imageRC(ds2.GetGeoTransform(
|
||||
), layer_parent.mask.xy[2], layer_parent.mask.xy[3])
|
||||
warp(temp_tif2, ds2, srcWin=[start2x, start2y, xsize, ysize])
|
||||
del ds2
|
||||
send_message.emit('图像二提取完成')
|
||||
|
||||
ds1: gdal.Dataset = gdal.Open(pth1)
|
||||
temp_tif1 = os.path.join(Project().other_path, 'temp1.tif')
|
||||
start1x, start1y = geo2imageRC(ds1.GetGeoTransform(
|
||||
), layer_parent.mask.xy[0], layer_parent.mask.xy[1])
|
||||
end1x, end1y = geo2imageRC(ds1.GetGeoTransform(
|
||||
), layer_parent.mask.xy[2], layer_parent.mask.xy[3])
|
||||
warp(temp_tif1, ds1, srcWin=[start1x, start1y, xsize, ysize])
|
||||
del ds1
|
||||
send_message.emit('图像一提取完成')
|
||||
|
||||
# 运算
|
||||
send_message.emit('开始AHT计算.....')
|
||||
time.sleep(0.1)
|
||||
out_normal_tif = os.path.join(Project().cmi_path, '{}_{}_cmi.tif'.format(
|
||||
layer_parent.name, int(np.random.rand() * 100000)))
|
||||
AHT(temp_tif1, temp_tif2, out_normal_tif)
|
||||
# 添加投影
|
||||
send_message.emit('录入投影信息.....')
|
||||
time.sleep(0.1)
|
||||
ds = gdal.Open(out_normal_tif, 1)
|
||||
ds.SetGeoTransform(geo)
|
||||
ds.SetProjection(proj)
|
||||
del ds
|
||||
|
||||
return out_normal_tif
|
||||
|
||||
|
||||
@VEG_CD.register
|
||||
class OCDAlg(AlgFrontend):
|
||||
|
||||
@staticmethod
|
||||
def get_name():
|
||||
return 'OCD'
|
||||
|
||||
@staticmethod
|
||||
def run_alg(pth1: str, pth2: str, layer_parent: PairLayer, send_message=None, *args, **kargs):
|
||||
|
||||
if send_message is None:
|
||||
class Empty:
|
||||
|
||||
def emit(self, *args, **kws):
|
||||
print(args)
|
||||
send_message = Empty()
|
||||
|
||||
xsize = layer_parent.size[0]
|
||||
ysize = layer_parent.size[1]
|
||||
geo = layer_parent.grid.geo
|
||||
proj = layer_parent.grid.proj
|
||||
# 提取公共部分
|
||||
send_message.emit('提取重叠区域数据.....')
|
||||
|
||||
ds2: gdal.Dataset = gdal.Open(pth2)
|
||||
temp_tif2 = os.path.join(Project().other_path, 'temp2.tif')
|
||||
start2x, start2y = geo2imageRC(ds2.GetGeoTransform(
|
||||
), layer_parent.mask.xy[0], layer_parent.mask.xy[1])
|
||||
end2x, end2y = geo2imageRC(ds2.GetGeoTransform(
|
||||
), layer_parent.mask.xy[2], layer_parent.mask.xy[3])
|
||||
warp(temp_tif2, ds2, srcWin=[start2x, start2y, xsize, ysize])
|
||||
del ds2
|
||||
send_message.emit('图像二提取完成')
|
||||
|
||||
ds1: gdal.Dataset = gdal.Open(pth1)
|
||||
temp_tif1 = os.path.join(Project().other_path, 'temp1.tif')
|
||||
start1x, start1y = geo2imageRC(ds1.GetGeoTransform(
|
||||
), layer_parent.mask.xy[0], layer_parent.mask.xy[1])
|
||||
end1x, end1y = geo2imageRC(ds1.GetGeoTransform(
|
||||
), layer_parent.mask.xy[2], layer_parent.mask.xy[3])
|
||||
warp(temp_tif1, ds1, srcWin=[start1x, start1y, xsize, ysize])
|
||||
del ds1
|
||||
send_message.emit('图像一提取完成')
|
||||
|
||||
# 运算
|
||||
send_message.emit('开始OCD计算.....')
|
||||
time.sleep(0.1)
|
||||
out_normal_tif = os.path.join(Project().cmi_path, '{}_{}_cmi.tif'.format(
|
||||
layer_parent.name, int(np.random.rand() * 100000)))
|
||||
OCD(temp_tif1, temp_tif2, out_normal_tif, Project().other_path)
|
||||
# 添加投影
|
||||
send_message.emit('录入投影信息.....')
|
||||
time.sleep(0.1)
|
||||
ds = gdal.Open(out_normal_tif, 1)
|
||||
ds.SetGeoTransform(geo)
|
||||
ds.SetProjection(proj)
|
||||
del ds
|
||||
|
||||
return out_normal_tif
|
||||
|
||||
|
||||
@VEG_CD.register
|
||||
class LHBAAlg(AlgFrontend):
|
||||
|
||||
@staticmethod
|
||||
def get_name():
|
||||
return 'LHBA'
|
||||
|
||||
@staticmethod
|
||||
def run_alg(pth1: str, pth2: str, layer_parent: PairLayer, send_message=None, *args, **kargs):
|
||||
|
||||
if send_message is None:
|
||||
class Empty:
|
||||
|
||||
def emit(self, *args, **kws):
|
||||
print(args)
|
||||
send_message = Empty()
|
||||
|
||||
xsize = layer_parent.size[0]
|
||||
ysize = layer_parent.size[1]
|
||||
geo = layer_parent.grid.geo
|
||||
proj = layer_parent.grid.proj
|
||||
# 提取公共部分
|
||||
send_message.emit('提取重叠区域数据.....')
|
||||
|
||||
ds2: gdal.Dataset = gdal.Open(pth2)
|
||||
temp_tif2 = os.path.join(Project().other_path, 'temp2.tif')
|
||||
start2x, start2y = geo2imageRC(ds2.GetGeoTransform(
|
||||
), layer_parent.mask.xy[0], layer_parent.mask.xy[1])
|
||||
end2x, end2y = geo2imageRC(ds2.GetGeoTransform(
|
||||
), layer_parent.mask.xy[2], layer_parent.mask.xy[3])
|
||||
warp(temp_tif2, ds2, srcWin=[start2x, start2y, xsize, ysize])
|
||||
del ds2
|
||||
send_message.emit('图像二提取完成')
|
||||
|
||||
ds1: gdal.Dataset = gdal.Open(pth1)
|
||||
temp_tif1 = os.path.join(Project().other_path, 'temp1.tif')
|
||||
start1x, start1y = geo2imageRC(ds1.GetGeoTransform(
|
||||
), layer_parent.mask.xy[0], layer_parent.mask.xy[1])
|
||||
end1x, end1y = geo2imageRC(ds1.GetGeoTransform(
|
||||
), layer_parent.mask.xy[2], layer_parent.mask.xy[3])
|
||||
warp(temp_tif1, ds1, srcWin=[start1x, start1y, xsize, ysize])
|
||||
del ds1
|
||||
send_message.emit('图像一提取完成')
|
||||
|
||||
# 运算
|
||||
send_message.emit('开始LHBA计算.....')
|
||||
time.sleep(0.1)
|
||||
out_normal_tif = os.path.join(Project().cmi_path, '{}_{}_cmi.tif'.format(
|
||||
layer_parent.name, int(np.random.rand() * 100000)))
|
||||
LHBA(temp_tif1, temp_tif2, out_normal_tif)
|
||||
# 添加投影
|
||||
send_message.emit('录入投影信息.....')
|
||||
time.sleep(0.1)
|
||||
ds = gdal.Open(out_normal_tif, 1)
|
||||
ds.SetGeoTransform(geo)
|
||||
ds.SetProjection(proj)
|
||||
del ds
|
||||
return out_normal_tif
|
||||
|
||||
|
||||
@VEG_CD.register
|
||||
class SHAlg(AlgFrontend):
|
||||
|
||||
@staticmethod
|
||||
def get_name():
|
||||
return 'SH'
|
||||
|
||||
@staticmethod
|
||||
def run_alg(pth1: str, pth2: str, layer_parent: PairLayer, send_message=None, *args, **kargs):
|
||||
|
||||
if send_message is None:
|
||||
class Empty:
|
||||
|
||||
def emit(self, *args, **kws):
|
||||
print(args)
|
||||
send_message = Empty()
|
||||
|
||||
xsize = layer_parent.size[0]
|
||||
ysize = layer_parent.size[1]
|
||||
geo = layer_parent.grid.geo
|
||||
proj = layer_parent.grid.proj
|
||||
# 提取公共部分
|
||||
send_message.emit('提取重叠区域数据.....')
|
||||
|
||||
ds2: gdal.Dataset = gdal.Open(pth2)
|
||||
temp_tif2 = os.path.join(Project().other_path, 'temp2.tif')
|
||||
start2x, start2y = geo2imageRC(ds2.GetGeoTransform(
|
||||
), layer_parent.mask.xy[0], layer_parent.mask.xy[1])
|
||||
end2x, end2y = geo2imageRC(ds2.GetGeoTransform(
|
||||
), layer_parent.mask.xy[2], layer_parent.mask.xy[3])
|
||||
warp(temp_tif2, ds2, srcWin=[start2x, start2y, xsize, ysize])
|
||||
del ds2
|
||||
send_message.emit('图像二提取完成')
|
||||
|
||||
ds1: gdal.Dataset = gdal.Open(pth1)
|
||||
temp_tif1 = os.path.join(Project().other_path, 'temp1.tif')
|
||||
start1x, start1y = geo2imageRC(ds1.GetGeoTransform(
|
||||
), layer_parent.mask.xy[0], layer_parent.mask.xy[1])
|
||||
end1x, end1y = geo2imageRC(ds1.GetGeoTransform(
|
||||
), layer_parent.mask.xy[2], layer_parent.mask.xy[3])
|
||||
warp(temp_tif1, ds1, srcWin=[start1x, start1y, xsize, ysize])
|
||||
del ds1
|
||||
send_message.emit('图像一提取完成')
|
||||
|
||||
# 运算
|
||||
send_message.emit('开始SH计算.....')
|
||||
time.sleep(0.1)
|
||||
out_normal_tif = os.path.join(Project().cmi_path, '{}_{}_cmi.tif'.format(
|
||||
layer_parent.name, int(np.random.rand() * 100000)))
|
||||
SH(temp_tif1, temp_tif2, out_normal_tif)
|
||||
# 添加投影
|
||||
send_message.emit('录入投影信息.....')
|
||||
time.sleep(0.1)
|
||||
ds = gdal.Open(out_normal_tif, 1)
|
||||
ds.SetGeoTransform(geo)
|
||||
ds.SetProjection(proj)
|
||||
del ds
|
||||
return out_normal_tif
|
||||
from .vfc import VFCCD
|
||||
@ -1,7 +1,13 @@
|
||||
from rscder.utils.geomath import geo2imageRC, imageRC2geo
|
||||
from rscder.utils.project import Project, PairLayer
|
||||
from rscder.utils.icons import IconInstance
|
||||
from misc import Register, AlgFrontend
|
||||
|
||||
from osgeo import gdal
|
||||
import os
|
||||
import math
|
||||
import numpy as np
|
||||
from PyQt5.QtGui import QIntValidator
|
||||
from PyQt5.QtWidgets import QWidget, QLabel, QPushButton, QLineEdit, QHBoxLayout, QVBoxLayout
|
||||
from . import VEG_CD
|
||||
|
||||
@VEG_CD.register
|
||||
@ -12,11 +18,71 @@ class VFCCD(AlgFrontend):
|
||||
return '植被覆盖度变化'
|
||||
|
||||
@staticmethod
|
||||
def run_alg(pth1:str,pth2:str,layer_parent:PairLayer,send_message = None,*args, **kargs):
|
||||
def get_icon():
|
||||
return IconInstance().ARITHMETIC2
|
||||
|
||||
@staticmethod
|
||||
def get_widget(parent=None):
|
||||
widget = QWidget(parent)
|
||||
layout = QVBoxLayout()
|
||||
|
||||
redlabel = QLabel('红波段：')
|
||||
redinput = QLineEdit()
|
||||
redinput.setValidator(QIntValidator(redinput))
|
||||
redinput.setObjectName('redinput')
|
||||
|
||||
redlayout = QHBoxLayout()
|
||||
redlayout.addWidget(redlabel)
|
||||
redlayout.addWidget(redinput)
|
||||
|
||||
nirlabel = QLabel('近红外：')
|
||||
nirinput = QLineEdit()
|
||||
nirinput.setValidator(QIntValidator(0, 100, nirinput))
|
||||
nirinput.setObjectName('nirinput')
|
||||
|
||||
nirlayout = QHBoxLayout()
|
||||
nirlayout.addWidget(nirlabel)
|
||||
nirlayout.addWidget(nirinput)
|
||||
|
||||
layout.addLayout(redlayout)
|
||||
layout.addLayout(nirlayout)
|
||||
|
||||
widget.setLayout(layout)
|
||||
return widget
|
||||
|
||||
@staticmethod
|
||||
def get_params(widget:QWidget=None):
|
||||
|
||||
if widget is None:
|
||||
return dict(nir=3, red=0)
|
||||
|
||||
redinput = widget.findChild(QLineEdit, 'redinput')
|
||||
nirinput = widget.findChild(QLineEdit, 'nirinput')
|
||||
|
||||
if redinput is None or nirinput is None:
|
||||
return dict(nir=3, red=0)
|
||||
|
||||
nir = int(nirinput.text())
|
||||
red = int(redinput.text())
|
||||
|
||||
return dict(red=red, nir=nir)
|
||||
|
||||
@staticmethod
|
||||
def run_alg(pth1:str,pth2:str,layer_parent:PairLayer, red=0, nir=3, send_message = None,*args, **kargs):
|
||||
|
||||
ds1:gdal.Dataset=gdal.Open(pth1)
|
||||
ds2:gdal.Dataset=gdal.Open(pth2)
|
||||
|
||||
if ds1.RasterCount <= 2:
|
||||
if send_message is not None:
|
||||
send_message.emit('至少包含两个波段')
|
||||
return
|
||||
|
||||
if ds1.RasterCount < (max(red, nir) + 1):
|
||||
if send_message is not None:
|
||||
send_message.emit(f'{max(nir, red)}超过波段数量')
|
||||
return
|
||||
|
||||
cell_size = layer_parent.cell_size
|
||||
xsize = layer_parent.size[0]
|
||||
ysize = layer_parent.size[1]
|
||||
@ -60,12 +126,12 @@ class VFCCD(AlgFrontend):
|
||||
block_size2 = (xsize, end2y - block_xy2[1])
|
||||
block_data1 = ds1.ReadAsArray(*block_xy1, *block_size1)
|
||||
block_data2 = ds2.ReadAsArray(*block_xy2, *block_size2)
|
||||
|
||||
if band == 1:
|
||||
block_data1 = block_data1[None, ...]
|
||||
block_data2 = block_data2[None, ...]
|
||||
ndvi1 = (block_data1[nir] - block_data1[red])/((block_data1[nir] + block_data1[red]) + 1e-6)
|
||||
ndvi2 = (block_data2[nir] - block_data2[red])/((block_data2[nir] + block_data2[red]) + 1e-6)
|
||||
ndvi1[ndvi1 < 0] = 0
|
||||
ndvi2[ndvi2 < 0] = 0
|
||||
# pdb.set_trace()
|
||||
block_diff = block_data1.sum(0) - block_data2.sum(0)
|
||||
block_diff = ndvi1 - ndvi2
|
||||
block_diff = block_diff.astype(np.float32)
|
||||
block_diff = np.abs(block_diff)
|
||||
|
||||
|
||||
@ -50,7 +50,7 @@ class IconInstance(QObject):
|
||||
self.ARITHMETIC1 = QIcon('./icons/Algorithm_icon/功能-01.png')
|
||||
self.ARITHMETIC2 = QIcon('./icons/Algorithm_icon/功能-02.png')
|
||||
self.ARITHMETIC3 = QIcon('./icons/Algorithm_icon/功能-03.png')
|
||||
self.ARITHMETIC3.QSize()
|
||||
# self.ARITHMETIC3.QSize()
|
||||
|
||||
self.DATA_LOAD = QIcon('./icons/数据加载.png')
|
||||
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user