113 lines
4.6 KiB
Python
113 lines
4.6 KiB
Python
from rscder.utils.geomath import geo2imageRC, imageRC2geo
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from rscder.utils.project import Project, PairLayer
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from misc import Register, AlgFrontend
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from . import VEG_CD
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@VEG_CD.register
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class VFCCD(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 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(),layer_parent.mask.xy[0],layer_parent.mask.xy[1])
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end1x,end1y=geo2imageRC(ds1.GetGeoTransform(),layer_parent.mask.xy[2],layer_parent.mask.xy[3])
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start2x,start2y=geo2imageRC(ds2.GetGeoTransform(),layer_parent.mask.xy[0],layer_parent.mask.xy[1])
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end2x,end2y=geo2imageRC(ds2.GetGeoTransform(),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(layer_parent.name, int(np.random.rand() * 100000)))
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out_normal_ds = driver.Create(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 |