add some icons

This commit is contained in:
gis-xh 2022-11-07 15:24:33 +08:00
parent 3d753a88a5
commit 2445b7aec0
14 changed files with 737 additions and 583 deletions

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@ -6,7 +6,15 @@ CVEO团队
Python3.7 + PyQt + QGIS
## 配置方式
```
conda create -f conda.yaml
```
```
conda env create -n cevo_qt -f conda.yaml
```
# 打包方式

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@ -11,6 +11,7 @@ dependencies:
- pyqtads=3.8.2=py37hf2a7229_0
- python=3.7.10=h7840368_101_cpython
- python_abi=3.7=2_cp37m
- pip
- pyyaml=5.4.1=py37hcc03f2d_1
- qgis=3.18.3=py37h3dc7164_2
- qt=5.12.9=h5909a2a_4

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icons/植被变化.png Normal file

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@ -1 +1 @@
vd4FiYncytyziGH9GNCAA8hGGr1/79Xmphtc5+PHPJDpxvqj1hP7+985QMojYO4M5Qn/aqEAvFgeDN3CA8x1YAK8SdCgSXSBJpRBK8wqPQjBY1ak96QfdPCrTLunr+xuPxK3Gxe772adTTsee2+ot7WePYUsC4y4NcS5+rlP1if87xtYqVeSwx3c64cOmAGP
IEhM2L0c7TWXeIEGUm8n1nMToPxkWiapMjEFtLFLHad4a1+2IKcrD2wbRobBLmTIdux5iOV+AV+t2JY75+w5NAU+umtYPWmpbAiphAQ1S8s8/h7fclRBU6Ym8oXDxCmZoWpCLCpJd8lE/R3nfKBoexDRYXecz/lw58wkdZbHktpNVKfjoe827/aKa7gmYNXO

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@ -1,6 +1,14 @@
from rscder.utils.icons import IconInstance
from .SH import SH
from .LHBA import LHBA
from .OCD import OCD
from .AHT import AHT
from .ACD import ACD
import numpy as np
from datetime import datetime
from osgeo import gdal
import math,os
import math
import os
import time
from PyQt5 import QtWidgets
from sklearn.cluster import k_means
@ -10,12 +18,6 @@ from misc import Register, AlgFrontend
UNSUPER_CD = Register('无监督变化检测方法')
import numpy as np
from .ACD import ACD
from .AHT import AHT
from .OCD import OCD
from .LHBA import LHBA
from .SH import SH
def warp(file, ds: gdal.Dataset, srcWin=[0, 0, 0, 0]):
driver = gdal.GetDriverByName('GTiff')
@ -26,13 +28,16 @@ def warp(file,ds:gdal.Dataset,srcWin=[0,0,0,0]):
band = ds.RasterCount
if os.path.exists(file):
os.remove(file)
out_ds:gdal.Dataset=driver.Create(file, xsize, ysize, band, gdal.GDT_Byte)
out_ds: gdal.Dataset = driver.Create(
file, xsize, ysize, band, gdal.GDT_Byte)
out_ds.SetGeoTransform(geo)
out_ds.SetProjection(orj)
for b in range(1, band+1):
out_ds.GetRasterBand(b).WriteArray(ds.ReadAsArray(*srcWin,band_list=[b]),*(0,0))
out_ds.GetRasterBand(b).WriteArray(
ds.ReadAsArray(*srcWin, band_list=[b]), *(0, 0))
del out_ds
@UNSUPER_CD.register
class BasicCD(AlgFrontend):
@ -40,6 +45,10 @@ class BasicCD(AlgFrontend):
def get_name():
return '差分法'
@staticmethod
def get_icon():
return IconInstance().ARITHMETIC3
@staticmethod
def run_alg(pth1: str, pth2: str, layer_parent: PairLayer, send_message=None, *args, **kargs):
@ -64,11 +73,15 @@ class BasicCD(AlgFrontend):
max_diff = 0
min_diff = math.inf
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])
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])
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])
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])
for j in range(yblocks + 1): # 该改这里了
if send_message is not None:
@ -112,8 +125,10 @@ class BasicCD(AlgFrontend):
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_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)
@ -141,6 +156,7 @@ class BasicCD(AlgFrontend):
send_message.emit('差分法计算完成')
return out_normal_tif
@UNSUPER_CD.register
class LSTS(AlgFrontend):
@ -148,6 +164,10 @@ class LSTS(AlgFrontend):
def get_name():
return 'LSTS'
@staticmethod
def get_icon():
return IconInstance().ARITHMETIC3
@staticmethod
def get_widget(parent=None):
@ -172,7 +192,8 @@ class LSTS(AlgFrontend):
yblocks = ysize // cell_size[1]
driver = gdal.GetDriverByName('GTiff')
out_tif = os.path.join(Project().other_path, '%d.tif'%(int(datetime.now().timestamp() * 1000)))
out_tif = os.path.join(Project().other_path, '%d.tif' % (
int(datetime.now().timestamp() * 1000)))
out_ds = driver.Create(out_tif, xsize, ysize, 1, gdal.GDT_Float32)
geo = layer_parent.grid.geo
proj = layer_parent.grid.proj
@ -185,17 +206,21 @@ class LSTS(AlgFrontend):
win_h = w_size[0]//2 # half hight of window
win_w = w_size[1]//2 # half width of window
a = [[(i+1)**j for j in range(n+1)] for i in range(pixnum)]
A=np.array(a).astype(np.float64)#
A = np.array(a).astype(np.float64)
k_ = np.array(range(1, n+1))
df1 = np.zeros(pixnum).astype(np.float64)
df2 = np.zeros(pixnum).astype(np.float64)
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])
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])
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])
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])
for j in range(yblocks + 1):
if send_message is not None:
@ -244,8 +269,10 @@ class LSTS(AlgFrontend):
# df
k_ = range(1, n+1)
for pix in range(1, pixnum+1):
df1[pix-1]=x1[1:n+1].dot(np.array([k*(pix**(k-1)) for k in k_]))
df2[pix-1]=x2[1:n+1].dot(np.array([k*(pix**(k-1)) for k in k_]))
df1[pix-1] = x1[1:n +
1].dot(np.array([k*(pix**(k-1)) for k in k_]))
df2[pix-1] = x2[1:n +
1].dot(np.array([k*(pix**(k-1)) for k in k_]))
# distance 欧式距离
block_diff[i][j_] = np.dot(df1-df2, df1-df2)**0.5
@ -263,8 +290,10 @@ class LSTS(AlgFrontend):
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_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)
@ -301,6 +330,10 @@ class CVAAlg(AlgFrontend):
def get_name():
return 'CVA'
@staticmethod
def get_icon():
return IconInstance().ARITHMETIC3
@staticmethod
def run_alg(pth1: str, pth2: str, layer_parent: PairLayer, send_message=None, *args, **kargs):
@ -324,12 +357,15 @@ class CVAAlg(AlgFrontend):
max_diff = 0
min_diff = math.inf
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])
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])
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])
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])
for j in range(yblocks + 1):
if send_message is not None:
@ -369,8 +405,10 @@ class CVAAlg(AlgFrontend):
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_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)
@ -398,6 +436,7 @@ class CVAAlg(AlgFrontend):
send_message.emit('欧式距离计算完成')
return out_normal_tif
@UNSUPER_CD.register
class ACDAlg(AlgFrontend):
@ -405,6 +444,10 @@ class ACDAlg(AlgFrontend):
def get_name():
return 'ACD'
@staticmethod
def get_icon():
return IconInstance().ARITHMETIC3
@staticmethod
def run_alg(pth1: str, pth2: str, layer_parent: PairLayer, send_message=None, *args, **kargs):
@ -425,27 +468,29 @@ class ACDAlg(AlgFrontend):
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])
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])
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)))
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.....')
@ -465,6 +510,10 @@ class AHTAlg(AlgFrontend):
def get_name():
return 'AHT'
@staticmethod
def get_icon():
return IconInstance().ARITHMETIC3
@staticmethod
def run_alg(pth1: str, pth2: str, layer_parent: PairLayer, send_message=None, *args, **kargs):
@ -484,27 +533,29 @@ class AHTAlg(AlgFrontend):
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])
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])
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)))
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.....')
@ -524,6 +575,10 @@ class OCDAlg(AlgFrontend):
def get_name():
return 'OCD'
@staticmethod
def get_icon():
return IconInstance().ARITHMETIC3
@staticmethod
def run_alg(pth1: str, pth2: str, layer_parent: PairLayer, send_message=None, *args, **kargs):
@ -543,27 +598,29 @@ class OCDAlg(AlgFrontend):
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])
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])
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)))
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.....')
@ -575,6 +632,7 @@ class OCDAlg(AlgFrontend):
return out_normal_tif
@UNSUPER_CD.register
class LHBAAlg(AlgFrontend):
@ -582,6 +640,10 @@ class LHBAAlg(AlgFrontend):
def get_name():
return 'LHBA'
@staticmethod
def get_icon():
return IconInstance().ARITHMETIC3
@staticmethod
def run_alg(pth1: str, pth2: str, layer_parent: PairLayer, send_message=None, *args, **kargs):
@ -592,7 +654,6 @@ class LHBAAlg(AlgFrontend):
print(args)
send_message = Empty()
xsize = layer_parent.size[0]
ysize = layer_parent.size[1]
geo = layer_parent.grid.geo
@ -602,17 +663,20 @@ class LHBAAlg(AlgFrontend):
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])
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])
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')
@ -620,7 +684,8 @@ class LHBAAlg(AlgFrontend):
# 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)))
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.....')
@ -639,6 +704,10 @@ class SHAlg(AlgFrontend):
def get_name():
return 'SH'
@staticmethod
def get_icon():
return IconInstance().ARITHMETIC3
@staticmethod
def run_alg(pth1: str, pth2: str, layer_parent: PairLayer, send_message=None, *args, **kargs):
@ -649,8 +718,6 @@ class SHAlg(AlgFrontend):
print(args)
send_message = Empty()
xsize = layer_parent.size[0]
ysize = layer_parent.size[1]
geo = layer_parent.grid.geo
@ -660,17 +727,20 @@ class SHAlg(AlgFrontend):
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])
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])
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')
@ -678,7 +748,8 @@ class SHAlg(AlgFrontend):
# 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)))
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.....')

View File

@ -13,6 +13,7 @@ from thres import THRES
from misc import table_layer, AlgSelectWidget
from follow import FOLLOW
class VegtationCDMethod(QDialog):
def __init__(self, parent=None, alg: AlgFrontend = None):
super(VegtationCDMethod, self).__init__(parent)
@ -62,6 +63,7 @@ class VegtationCDMethod(QDialog):
self.setLayout(totalvlayout)
@FOLLOW.register
class VegetationCDFollow(AlgFrontend):
@ -71,7 +73,7 @@ class VegetationCDFollow(AlgFrontend):
@staticmethod
def get_icon():
return IconInstance().UNSUPERVISED
return IconInstance().VEGETATION
@staticmethod
def get_widget(parent=None):
@ -104,7 +106,8 @@ class VegetationCDFollow(AlgFrontend):
layer_combox = widget.findChild(PairLayerCombox, 'layer_combox')
filter_select = widget.findChild(AlgSelectWidget, 'filter_select')
unsupervised_select = widget.findChild(AlgSelectWidget, 'unsupervised_select')
unsupervised_select = widget.findChild(
AlgSelectWidget, 'unsupervised_select')
thres_select = widget.findChild(AlgSelectWidget, 'thres_select')
layer1 = layer_combox.layer1
@ -148,21 +151,21 @@ class VegetationCDFollow(AlgFrontend):
name = layer1.name
if falg is not None:
pth1 = falg.run_alg(pth1, name=name, send_message= send_message, **fparams)
pth2 = falg.run_alg(pth2, name=name, send_message= send_message, **fparams)
pth1 = falg.run_alg(
pth1, name=name, send_message=send_message, **fparams)
pth2 = falg.run_alg(
pth2, name=name, send_message=send_message, **fparams)
cdpth = cdalg.run_alg(pth1, pth2, layer1.layer_parent, send_message= send_message,**cdparams)
thpth = thalg.run_alg(cdpth, name=name, send_message= send_message, **thparams)
cdpth = cdalg.run_alg(pth1, pth2, layer1.layer_parent,
send_message=send_message, **cdparams)
thpth = thalg.run_alg(
cdpth, name=name, send_message=send_message, **thparams)
table_layer(thpth, layer1, name, send_message)
class VegtationPlugin(BasicPlugin):
@staticmethod
def info():
return {
@ -190,7 +193,6 @@ class VegtationPlugin(BasicPlugin):
veg_menu.addAction(action)
def run_cd(self, alg):
dialog = VegtationCDMethod(self.mainwindow, alg)
dialog.show()
@ -215,12 +217,14 @@ class VegtationPlugin(BasicPlugin):
return
if falg is not None:
pth1 = falg.run_alg(pth1, name=name, send_message=self.send_message, **fparams)
pth2 = falg.run_alg(pth2, name=name, send_message=self.send_message, **fparams)
pth1 = falg.run_alg(
pth1, name=name, send_message=self.send_message, **fparams)
pth2 = falg.run_alg(
pth2, name=name, send_message=self.send_message, **fparams)
cdpth = cdalg.run_alg(pth1, pth2, layer1.layer_parent, send_message=self.send_message,**cdparams)
thpth = thalg.run_alg(cdpth, name=name, send_message=self.send_message, **thparams)
cdpth = cdalg.run_alg(pth1, pth2, layer1.layer_parent,
send_message=self.send_message, **cdparams)
thpth = thalg.run_alg(
cdpth, name=name, send_message=self.send_message, **thparams)
table_layer(thpth, layer1, name, self.send_message)

View File

@ -1,21 +1,23 @@
from .SH import SH
from .LHBA import LHBA
from .OCD import OCD
from .AHT import AHT
from .ACD import ACD
import numpy as np
from datetime import datetime
from osgeo import gdal
import math,os
import math
import os
import time
from PyQt5 import QtWidgets
from sklearn.cluster import k_means
from rscder.utils.geomath import geo2imageRC, imageRC2geo
from rscder.utils.icons import IconInstance
from rscder.utils.project import Project, PairLayer
from misc import Register, AlgFrontend
VEG_CD = Register('植被变化检测方法')
import numpy as np
from .ACD import ACD
from .AHT import AHT
from .OCD import OCD
from .LHBA import LHBA
from .SH import SH
def warp(file, ds: gdal.Dataset, srcWin=[0, 0, 0, 0]):
driver = gdal.GetDriverByName('GTiff')
@ -26,13 +28,16 @@ def warp(file,ds:gdal.Dataset,srcWin=[0,0,0,0]):
band = ds.RasterCount
if os.path.exists(file):
os.remove(file)
out_ds:gdal.Dataset=driver.Create(file, xsize, ysize, band, gdal.GDT_Byte)
out_ds: gdal.Dataset = driver.Create(
file, xsize, ysize, band, gdal.GDT_Byte)
out_ds.SetGeoTransform(geo)
out_ds.SetProjection(orj)
for b in range(1, band+1):
out_ds.GetRasterBand(b).WriteArray(ds.ReadAsArray(*srcWin,band_list=[b]),*(0,0))
out_ds.GetRasterBand(b).WriteArray(
ds.ReadAsArray(*srcWin, band_list=[b]), *(0, 0))
del out_ds
@VEG_CD.register
class BasicCD(AlgFrontend):
@ -40,6 +45,10 @@ class BasicCD(AlgFrontend):
def get_name():
return '差分法'
@staticmethod
def get_icon():
return IconInstance().VEGETATION
@staticmethod
def run_alg(pth1: str, pth2: str, layer_parent: PairLayer, send_message=None, *args, **kargs):
@ -64,11 +73,15 @@ class BasicCD(AlgFrontend):
max_diff = 0
min_diff = math.inf
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])
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])
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])
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])
for j in range(yblocks + 1): # 该改这里了
if send_message is not None:
@ -112,8 +125,10 @@ class BasicCD(AlgFrontend):
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_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)
@ -141,6 +156,7 @@ class BasicCD(AlgFrontend):
send_message.emit('差分法计算完成')
return out_normal_tif
@VEG_CD.register
class LSTS(AlgFrontend):
@ -172,7 +188,8 @@ class LSTS(AlgFrontend):
yblocks = ysize // cell_size[1]
driver = gdal.GetDriverByName('GTiff')
out_tif = os.path.join(Project().other_path, '%d.tif'%(int(datetime.now().timestamp() * 1000)))
out_tif = os.path.join(Project().other_path, '%d.tif' % (
int(datetime.now().timestamp() * 1000)))
out_ds = driver.Create(out_tif, xsize, ysize, 1, gdal.GDT_Float32)
geo = layer_parent.grid.geo
proj = layer_parent.grid.proj
@ -185,17 +202,21 @@ class LSTS(AlgFrontend):
win_h = w_size[0]//2 # half hight of window
win_w = w_size[1]//2 # half width of window
a = [[(i+1)**j for j in range(n+1)] for i in range(pixnum)]
A=np.array(a).astype(np.float64)#
A = np.array(a).astype(np.float64)
k_ = np.array(range(1, n+1))
df1 = np.zeros(pixnum).astype(np.float64)
df2 = np.zeros(pixnum).astype(np.float64)
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])
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])
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])
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])
for j in range(yblocks + 1):
if send_message is not None:
@ -244,8 +265,10 @@ class LSTS(AlgFrontend):
# df
k_ = range(1, n+1)
for pix in range(1, pixnum+1):
df1[pix-1]=x1[1:n+1].dot(np.array([k*(pix**(k-1)) for k in k_]))
df2[pix-1]=x2[1:n+1].dot(np.array([k*(pix**(k-1)) for k in k_]))
df1[pix-1] = x1[1:n +
1].dot(np.array([k*(pix**(k-1)) for k in k_]))
df2[pix-1] = x2[1:n +
1].dot(np.array([k*(pix**(k-1)) for k in k_]))
# distance 欧式距离
block_diff[i][j_] = np.dot(df1-df2, df1-df2)**0.5
@ -263,8 +286,10 @@ class LSTS(AlgFrontend):
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_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)
@ -324,12 +349,15 @@ class CVAAlg(AlgFrontend):
max_diff = 0
min_diff = math.inf
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])
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])
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])
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])
for j in range(yblocks + 1):
if send_message is not None:
@ -369,8 +397,10 @@ class CVAAlg(AlgFrontend):
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_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)
@ -398,6 +428,7 @@ class CVAAlg(AlgFrontend):
send_message.emit('欧式距离计算完成')
return out_normal_tif
@VEG_CD.register
class ACDAlg(AlgFrontend):
@ -425,27 +456,29 @@ class ACDAlg(AlgFrontend):
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])
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])
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)))
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.....')
@ -484,27 +517,29 @@ class AHTAlg(AlgFrontend):
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])
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])
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)))
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.....')
@ -543,27 +578,29 @@ class OCDAlg(AlgFrontend):
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])
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])
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)))
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.....')
@ -575,6 +612,7 @@ class OCDAlg(AlgFrontend):
return out_normal_tif
@VEG_CD.register
class LHBAAlg(AlgFrontend):
@ -592,7 +630,6 @@ class LHBAAlg(AlgFrontend):
print(args)
send_message = Empty()
xsize = layer_parent.size[0]
ysize = layer_parent.size[1]
geo = layer_parent.grid.geo
@ -602,17 +639,20 @@ class LHBAAlg(AlgFrontend):
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])
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])
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')
@ -620,7 +660,8 @@ class LHBAAlg(AlgFrontend):
# 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)))
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.....')
@ -649,8 +690,6 @@ class SHAlg(AlgFrontend):
print(args)
send_message = Empty()
xsize = layer_parent.size[0]
ysize = layer_parent.size[1]
geo = layer_parent.grid.geo
@ -660,17 +699,20 @@ class SHAlg(AlgFrontend):
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])
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])
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')
@ -678,7 +720,8 @@ class SHAlg(AlgFrontend):
# 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)))
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.....')

View File

@ -2,6 +2,7 @@ from PyQt5.QtGui import QIcon
from PyQt5.QtCore import QObject
from .misc import singleton
@singleton
class IconInstance(QObject):
@ -46,6 +47,10 @@ class IconInstance(QObject):
self.RASTER = QIcon('./icons/影像.png')
self.VEGETATION = QIcon('./icons/植被变化.png')
self.NOISE = QIcon('./icons/噪声处理.png')
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.DATA_LOAD = QIcon('./icons/数据加载.png')

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test-data/AAA.tif.ovr Normal file

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test-data/BBB.tif.ovr Normal file

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@ -0,0 +1,22 @@
cell_size:
- 100
- 100
layers:
- enable: true
layers: []
name: AAA.-BBB.
pth1: E:/xhong/CVEOdemo/fourth/rscder/test-data/AAA.tif
pth2: E:/xhong/CVEOdemo/fourth/rscder/test-data/BBB.tif
style_info1:
NIR: 4
b: 3
g: 2
r: 1
style_info2:
NIR: 4
b: 3
g: 2
r: 1
max_memory: 100
max_threads: 4
root: E:\xhong\CVEOdemo\fourth\rscder\test-data\test01