更新后向散射系数，修改配准内存溢出问题
tian jiax
parent
07bf00a634
commit
e27e358610
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@ -1,6 +1,28 @@
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# -*- mode: python ; coding: utf-8 -*-
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import sys
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from shutil import copy
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import os
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cwdpath = os.getcwd()
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toolDir = os.path.join(cwdpath, 'tool')
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if os.path.exists(toolDir):
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os.remove(toolDir)
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os.mkdir(toolDir)
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source_folder = '../tool'
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def copy_file(path_read, path_write):
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names = os.listdir(path_read)
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for name in names:
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path_read_new = os.path.join(path_read, name)
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path_write_new = os.path.join(path_write, name)
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if os.path.isdir(path_read_new):
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if not os.path.exists(path_write_new):
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os.mkdir(path_write_new)
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copy_file(path_read_new, path_write_new)
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else:
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copy(path_read_new, path_write_new)
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copy_file(source_folder, toolDir)
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block_cipher = None
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@ -300,6 +300,7 @@ class ScatteringMain:
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# 对映射表进行校正
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sim_ori_tiff = out_dir_path + "\\" + "RD_sim_ori.tif"
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out_sim_ori = out_dir_path + "\\" + "sim_ori-ortho.tif"
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out_sim_ori_temp = self.__workspace_baseMap_path + "\\" + "sim_ori-ortho.tif"
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parameter_path = os.path.join(self.__workspace_processing_path, "orth_para.txt")
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in_tif_paths = list(glob.glob(os.path.join(slc_paths, '*.tiff')))
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out_rpc_db = os.path.join(self.__workspace_baseMap_path, 'rpc_line.tif')
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@ -335,7 +336,8 @@ class ScatteringMain:
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lon_new = im_geotrans[0] + x
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lat_new = im_geotrans[3] - y
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im_geosNew = [lon_new, im_geotrans[1], im_geotrans[2], lat_new, im_geotrans[4], im_geotrans[5]]
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ImageHandler().write_img(out_sim_ori, im_proj, im_geosNew, im_arr)
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ImageHandler().write_img(out_sim_ori_temp, im_proj, im_geosNew, im_arr)
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pp.resample_by_gdal(out_sim_ori_temp, out_sim_ori) # todo 重采样为方像元
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os.remove(sim_ori_tiff)
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return out_sim_ori
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@ -1,6 +1,28 @@
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# -*- mode: python ; coding: utf-8 -*-
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import sys
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from shutil import copy
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import os
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cwdpath = os.getcwd()
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toolDir = os.path.join(cwdpath, 'tool')
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if os.path.exists(toolDir):
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os.remove(toolDir)
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os.mkdir(toolDir)
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source_folder = '../tool'
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def copy_file(path_read, path_write):
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names = os.listdir(path_read)
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for name in names:
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path_read_new = os.path.join(path_read, name)
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path_write_new = os.path.join(path_write, name)
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if os.path.isdir(path_read_new):
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if not os.path.exists(path_write_new):
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os.mkdir(path_write_new)
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copy_file(path_read_new, path_write_new)
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else:
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copy(path_read_new, path_write_new)
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copy_file(source_folder, toolDir)
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block_cipher = None
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@ -38,7 +38,7 @@
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<ParaType>File</ParaType>
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<DataType>tar.gz</DataType>
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<ParaSource>Man</ParaSource>
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<ParaValue>F:\MicroWorkspace\20240814tw\HJ2E_KRN_QPS_008852_E110.6_N20.1_20240515_SLC_AHV_L10000208028-Ortho.tar.gz</ParaValue>
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<ParaValue>F:\MicroWorkspace\S_SAR\AHV\HJ2E_MYC_QPS_001752_E118.0_N37.7_20230204_SLC_AHV_L10000010458-Ortho.tar.gz</ParaValue>
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<EnModification>True</EnModification>
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<EnMultipleChoice>False</EnMultipleChoice>
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<Control>File</Control>
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@ -51,9 +51,9 @@
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<ParaChsName>标记数据</ParaChsName>
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<Description>标记的样本数据</Description>
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<ParaType>File</ParaType>
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<DataType>csv</DataType>
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<DataType>zip</DataType>
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<ParaSource>Man</ParaSource>
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<ParaValue>F:\MicroWorkspace\20240814tw\LandCover.csv</ParaValue>
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<ParaValue>F:\al_zhongji\S-SAR-data\landCover\SSAR_landcover_landaCoverSample.zip</ParaValue>
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<EnModification>True</EnModification>
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<EnMultipleChoice>True</EnMultipleChoice>
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<Control>UploadInput</Control>
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@ -103,7 +103,7 @@
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<ParaType>File</ParaType>
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<DataType>tar.gz</DataType>
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<ParaSource>Man</ParaSource>
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<ParaValue>D:\micro\SWork\LandCover\Output\HJ2E_KRN_QPS_008852_E110.6_N20.1_20240515_SLC_AHV_L10000208028-Ortho-LANDCLASS.tar.gz</ParaValue>
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<ParaValue>D:\micro\SWork\LandCover\Output\HJ2E_MYC_QPS_001752_E118.0_N37.7_20230204_SLC_AHV_L10000010458-Ortho-LANDCLASS.tar.gz</ParaValue>
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</Parameter>
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</Outputs>
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</AlgCompt>
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@ -386,7 +386,7 @@ class MoistureMain:
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# data[data > soil_moisture_value_max] = soil_moisture_value_max
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data[data < soil_moisture_value_min] = -9999
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data[data > soil_moisture_value_max] = -9999
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self.imageHandler.write_img(product_path, proj, geos, data)
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self.imageHandler.write_img(product_path, proj, geos, data, '-9999')
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# 生成快视图
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self.imageHandler.write_quick_view(product_path)
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@ -1,6 +1,28 @@
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# -*- mode: python ; coding: utf-8 -*-
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import sys
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from shutil import copy
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import os
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cwdpath = os.getcwd()
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toolDir = os.path.join(cwdpath, 'tool')
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if os.path.exists(toolDir):
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os.remove(toolDir)
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os.mkdir(toolDir)
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source_folder = '../tool'
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def copy_file(path_read, path_write):
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names = os.listdir(path_read)
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for name in names:
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path_read_new = os.path.join(path_read, name)
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path_write_new = os.path.join(path_write, name)
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if os.path.isdir(path_read_new):
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if not os.path.exists(path_write_new):
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os.mkdir(path_write_new)
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copy_file(path_read_new, path_write_new)
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else:
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copy(path_read_new, path_write_new)
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copy_file(source_folder, toolDir)
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block_cipher = None
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@ -276,6 +276,40 @@ class PreProcess:
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logger.error('shapely.geos.TopologicalError occurred!')
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return
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@staticmethod
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def resample_by_gdal(in_path, out_path):
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src_ds = gdal.Open(in_path, gdal.GA_ReadOnly)
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# 设置目标影像的投影和范围
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target_projection = src_ds.GetProjection()
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target_geotransform = src_ds.GetGeoTransform()
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x_scale = target_geotransform[1]
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y_scale = target_geotransform[5]
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scale = [x_scale, np.abs(y_scale)]
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new_scale = np.max(scale)
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dst_geotransform = [target_geotransform[0], new_scale, target_geotransform[2], target_geotransform[3],
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target_geotransform[4], -new_scale]
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target_x_size = int(src_ds.RasterXSize * x_scale / new_scale) # 假设我们要将影像大小缩小到原来的一半
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target_y_size = int(src_ds.RasterYSize * np.abs(y_scale) / new_scale)
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# 创建输出驱动
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driver = gdal.GetDriverByName('GTiff')
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# 创建输出文件
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dst_ds = driver.Create(out_path, target_x_size, target_y_size, src_ds.RasterCount,
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src_ds.GetRasterBand(1).DataType)
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dst_ds.SetGeoTransform(dst_geotransform)
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dst_ds.SetProjection(target_projection)
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# 执行重采样
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gdal.ReprojectImage(src_ds, dst_ds, None, None, gdal.GRA_Bilinear) # 使用双线性插值
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# 关闭数据集
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dst_ds = None
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src_ds = None
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@staticmethod
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def write_polygon_shp(out_shp_path, point_list, EPSG =32649):
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@ -694,6 +694,11 @@ class ImageHandler:
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img_col_end = x_split * 3
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img_row_start = y_split * 1
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img_row_end = y_split * 3
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cols = img_col_end - img_col_start
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rows = img_row_end - img_row_start
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if cols > 10000 or rows > 10000:
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img_col_end = img_col_start + 10000
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img_row_end = img_row_start + 10000
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point_upleft = self.trans_rowcol2geo(img_geotrans, img_col_start, img_row_start)
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point_upright = self.trans_rowcol2geo(img_geotrans, img_col_end, img_row_start)
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