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microproduct-s-sar
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代码更新

dev
tian jiax 2024-10-30 11:19:00 +08:00
parent e27e358610
commit 1ad2118d2b
7 changed files with 73 additions and 26 deletions
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10
landcover-S-SAR/LandCover-S-SAR.xml
View File

@ -38,7 +38,7 @@
<ParaType>File</ParaType>
<DataType>tar.gz</DataType>
<ParaSource>Man</ParaSource>
<ParaValue>F:\MicroWorkspace\S_SAR\AHV\HJ2E_MYC_QPS_001752_E118.0_N37.7_20230204_SLC_AHV_L10000010458-Ortho.tar.gz</ParaValue>
<ParaValue>F:\xibei_LandCover\S-SAR-西北实验\1116\HJ2E_KSC_QPS_006084_E86.2_N44.4_20231116_SLC_AHV_L10000132474-Ortho.tar.gz</ParaValue>
<EnModification>True</EnModification>
<EnMultipleChoice>False</EnMultipleChoice>
<Control>File</Control>
@ -51,9 +51,9 @@
<ParaChsName>标记数据</ParaChsName>
<Description>标记的样本数据</Description>
<ParaType>File</ParaType>
<DataType>zip</DataType>
<DataType>csv</DataType>
<ParaSource>Man</ParaSource>
<ParaValue>F:\al_zhongji\S-SAR-data\landCover\SSAR_landcover_landaCoverSample.zip</ParaValue>
<ParaValue>F:\xibei_LandCover\landCoverSamples.csv</ParaValue>
<EnModification>True</EnModification>
<EnMultipleChoice>True</EnMultipleChoice>
<Control>UploadInput</Control>
@ -86,7 +86,7 @@
<ParaType>Value</ParaType>
<DataType>string</DataType>
<ParaSource>Man</ParaSource>
<ParaValue>0,1,2</ParaValue>
<ParaValue>0,1,2,3,4,5,6,7,8,9</ParaValue>
<EnModification>True</EnModification>
<EnMultipleChoice>True</EnMultipleChoice>
<Control>UploadInput</Control>
@ -103,7 +103,7 @@
<ParaType>File</ParaType>
<DataType>tar.gz</DataType>
<ParaSource>Man</ParaSource>
<ParaValue>D:\micro\SWork\LandCover\Output\HJ2E_MYC_QPS_001752_E118.0_N37.7_20230204_SLC_AHV_L10000010458-Ortho-LANDCLASS.tar.gz</ParaValue>
<ParaValue>D:\micro\SWork\LandCover\Output\HJ2E_KSC_QPS_006084_E86.2_N44.4_20231116_SLC_AHV_L10000132474-Ortho-LANDCLASS.tar.gz</ParaValue>
</Parameter>
</Outputs>
</AlgCompt>

26
leafAreaIndex-S-SAR/LeafAreaIndex.xml
View File

@ -1,7 +1,7 @@
<?xml version='1.0' encoding='utf-8'?>
<Root>
<TaskID>CSAR_202107275419_0001-0</TaskID>
<WorkSpace>D:\613NET\ComputingNode\ftproot\Production\PL_20240507155658_0002\</WorkSpace>
<WorkSpace>D:\micro\SWork\</WorkSpace>
<AlgCompt>
<DataTransModel>File</DataTransModel>
<Artificial>ElementAlg</Artificial>
@ -53,7 +53,7 @@
<ParaType>File</ParaType>
<DataType>tar.gz</DataType>
<ParaSource>Man</ParaSource>
<ParaValue>F:\MicroWorkspace\S_SAR\AHV\HJ2E_MYC_QPS_001752_E118.0_N37.7_20230204_SLC_AHV_L10000010458-cal.tar.gz</ParaValue>
<ParaValue>F:\MicroWorkspace\20240814tw\HJ2E_KRN_QPS_008852_E110.6_N20.1_20240515_SLC_AHV_L10000208028-cal.tar.gz</ParaValue>
<EnModification>True</EnModification>
<EnMultipleChoice>False</EnMultipleChoice>
<Control>File</Control>
@ -81,9 +81,9 @@
<ParaChsName>土壤水分产品</ParaChsName>
<Description>土壤水分产品</Description>
<ParaType>File</ParaType>
<DataType>zip</DataType>
<DataType>tif</DataType>
<ParaSource>Man</ParaSource>
<ParaValue>F:\al_zhongji\S-SAR-data\leafAreaIndex\SSAR_leafAreaIndex_SMC.zip</ParaValue>
<ParaValue>F:\Tian-GF3-Wenchang\GF3_MYC_QPSI_040611_E110.6_N20.0_20240427_L1A_AHV_L10006928143-cal-SMC.tif</ParaValue>
<EnModification>True</EnModification>
<EnMultipleChoice>False</EnMultipleChoice>
<Control>File</Control>
@ -96,9 +96,9 @@
<ParaChsName>叶面积指数实测数据</ParaChsName>
<Description>叶面积指数实测数据</Description>
<ParaType>File</ParaType>
<DataType>zip</DataType>
<DataType>csv</DataType>
<ParaSource>Man</ParaSource>
<ParaValue>F:\al_zhongji\S-SAR-data\leafAreaIndex\SSAR_leafAreaIndex_LAI.zip</ParaValue>
<ParaValue>F:\Tian-GF3-Wenchang\LAI\LAi.csv</ParaValue>
<EnModification>True</EnModification>
<EnMultipleChoice>False</EnMultipleChoice>
<Control>File</Control>
@ -111,9 +111,9 @@
<ParaChsName>NDVI</ParaChsName>
<Description>NDVI影像，坐标系要求：WGS84</Description>
<ParaType>File</ParaType>
<DataType>zip</DataType>
<DataType>tif</DataType>
<ParaSource>Cal</ParaSource>
<ParaValue>F:\al_zhongji\S-SAR-data\leafAreaIndex\SSAR_leafAreaIndex_NDVI.zip</ParaValue>
<ParaValue>F:\Tian-GF3-Wenchang\NDVI\S2_NDVImed_SMC_GF3.tif</ParaValue>
<EnModification>True</EnModification>
<EnMultipleChoice>False</EnMultipleChoice>
<Control>File</Control>
@ -128,7 +128,7 @@
<ParaType>Value</ParaType>
<DataType>string</DataType>
<ParaSource>Man</ParaSource>
<ParaValue>0;1</ParaValue>
<ParaValue>-1;1</ParaValue>
<EnModification>True</EnModification>
<EnMultipleChoice>False</EnMultipleChoice>
<Control>UploadInput</Control>
@ -141,9 +141,9 @@
<ParaChsName>地表覆盖度</ParaChsName>
<Description>地表覆盖度数据，坐标系要求：WGS84</Description>
<ParaType>File</ParaType>
<DataType>zip</DataType>
<DataType>tif</DataType>
<ParaSource>Cal</ParaSource>
<ParaValue>F:\al_zhongji\S-SAR-data\leafAreaIndex\SSAR_leafAreaIndex_LandCover.zip</ParaValue>
<ParaValue>F:\Tian-GF3-Wenchang\landCover_Glob30.tif</ParaValue>
<EnModification>True</EnModification>
<EnMultipleChoice>False</EnMultipleChoice>
<Control>File</Control>
@ -158,7 +158,7 @@
<ParaType>Value</ParaType>
<DataType>string</DataType>
<ParaSource>Man</ParaSource>
<ParaValue>empty</ParaValue>
<ParaValue>10;20;30;40;50;70;90</ParaValue>
<EnModification>True</EnModification>
<EnMultipleChoice>False</EnMultipleChoice>
<Control>UploadInput</Control>
@ -235,7 +235,7 @@
<ParaType>File</ParaType>
<DataType>tar.gz</DataType>
<ParaSource>Cal</ParaSource>
<ParaValue>D:\613NET\ComputingNode\ftproot\Production\PL_20240507155658_0002\LeafAreaIndex\Output\HJ2E_MYC_QPS_001752_E118.0_N37.7_20230204_SLC_AHV_L10000010458-cal-LAI.tar.gz</ParaValue>
<ParaValue>D:\micro\SWork\LeafAreaIndex\Output\HJ2E_KRN_QPS_008852_E110.6_N20.1_20240515_SLC_AHV_L10000208028-cal-LAI.tar.gz</ParaValue>
<MaxValue>DEFAULT</MaxValue>
<MinValue>DEFAULT</MinValue>
<OptionValue>DEFAULT</OptionValue>

BIN
tool.rar
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25
tool/algorithm/algtools/MetaDataHandler.py
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@ -11,9 +11,13 @@
[修改序列] [修改日期] [修改者] [修改内容]
1 2022-6-29 石海军 1.兼容GF3元文件和正射校正元文件提取信息
"""
import json
import logging
from xml.etree.ElementTree import ElementTree
import math
import xmltodict
logger = logging.getLogger("mylog")
class GF3L1AMetaData:
@ -27,6 +31,18 @@ class GF3L1AMetaData:
QualifyValue = float(root.find('imageinfo').find('QualifyValue').find(polarization).text)
return QualifyValue
@staticmethod
def get_SubQualifyValue(meta_file_path, polarization, pol_id):
try:
with open(meta_file_path, 'r', encoding='utf-8') as fp:
HeaderFile_dom_str = fp.read()
HeaderFile_dom = xmltodict.parse(HeaderFile_dom_str) # 将XML转成json文本
HeaderFile_dom_json = json.loads(json.dumps(HeaderFile_dom))
QualifyValue = float(HeaderFile_dom_json['product']['imageinfo']['QualifyValue'][pol_id][polarization])
return QualifyValue
except Exception as e:
raise('get QualifyValue failed')
@staticmethod
def get_Kdb(meta_file_path, polarization):
@ -89,6 +105,15 @@ class MetaDataHandler:
logger.info('GF3L1AMetaData.get_QualifyValue() success!')
return QualifyValue
def get_SubQualifyValue(meta_file_path, polarization, pol_id):
try:
QualifyValue = OrthoMetaData.get_QualifyValue(meta_file_path, polarization)
except Exception:
logger.warning('OrthoMetaData.get_QualifyValue() error!')
QualifyValue = GF3L1AMetaData.get_SubQualifyValue(meta_file_path, polarization, pol_id)
logger.info('GF3L1AMetaData.get_QualifyValue() success!')
return QualifyValue
@staticmethod
def get_Kdb(meta_file_path, polarization):
try:

4
tool/algorithm/block/blockprocess.py
View File

@ -280,8 +280,8 @@ class BlockProcess:
block_y = int(np.ceil(image.shape[0] / out_size)) # todo 修改分块
for i in range(block_y):
for j in range(block_x):
start_x = image.shape[1] - out_size if (j == block_x - 1) else j * out_size
start_y = image.shape[0] - out_size if (i == block_x - 1) else i * out_size
start_x = image.shape[1] - out_size if (j == block_x - 1 and block_x != 1) else j * out_size
start_y = image.shape[0] - out_size if (i == block_y - 1 and block_y != 1) else i * out_size
end_x = image.shape[1] if (j + 1) * out_size > image.shape[1] else (j + 1) * out_size
end_y = image.shape[0] if (i + 1) * out_size > image.shape[0] else (i + 1) * out_size

15
tool/algorithm/image/ImageHandle.py
View File

@ -7,6 +7,8 @@
@Version ：1.0.0
"""
import os
from xml.etree.ElementTree import ElementTree
from PIL import Image
from osgeo import gdal
from osgeo import osr
@ -758,6 +760,19 @@ class ImageHandler:
return quick_view_path
@staticmethod
def get_inc_angle(inc_xml, rows, cols, out_path):
tree = ElementTree()
tree.parse(inc_xml) # 影像头文件
root = tree.getroot()
values = root.findall('incidenceValue')
angle_value = [value.text for value in values]
angle_value = np.array(angle_value)
inc_angle = np.tile(angle_value, (rows, 1))
ImageHandler.write_img(out_path, '', [0.0, 1.0, 0.0, 0.0, 0.0, 1.0], inc_angle)
pass
if __name__ == '__main__':
fn = r"C:\Users\sxwcc\Downloads\HJ2E_MYC_QPS_001752_E118.0_N37.7_20230204_SLC_AHV_L10000010458-cal-SMC\HJ2E_MYC_QPS_001752_E118.0_N37.7_20230204_SLC_AHV_L10000010458-cal-SMC.tif"

19
tool/algorithm/xml/AnalysisXml.py
View File

@ -1,6 +1,8 @@
from xml.etree.ElementTree import ElementTree
import os
import numpy as np
class DictXml:
def __init__(self, xml_path):
@ -39,18 +41,23 @@ class DictXml:
if bottomRight is None:
raise Exception("get bottomRight failed")
lons = [float(topLeft.find("longitude").text), float(topRight.find("longitude").text), float(bottomLeft.find("longitude").text), float(bottomRight.find("longitude").text)]
lats = [float(topLeft.find("latitude").text), float(topRight.find("latitude").text), float(bottomLeft.find("latitude").text), float(bottomRight.find("latitude").text)]
lon_min = np.min(lons)
lon_max = np.max(lons)
lat_min = np.min(lats)
lat_max = np.max(lats)
point_upleft = [float(topLeft.find("longitude").text), float(topLeft.find("latitude").text)]
point_upright = [float(topRight.find("longitude").text), float(topRight.find("latitude").text)]
point_downleft = [float(bottomLeft.find("longitude").text), float(bottomLeft.find("latitude").text)]
point_downright = [float(bottomRight.find("longitude").text), float(bottomRight.find("latitude").text)]
scopes = [point_upleft, point_upright, point_downleft, point_downright]
point_upleft_buf = [float(topLeft.find("longitude").text) - 0.6, float(topLeft.find("latitude").text) + 0.6]
point_upright_buf = [float(topRight.find("longitude").text) + 0.6, float(topRight.find("latitude").text) + 0.6]
point_downleft_buf = [float(bottomLeft.find("longitude").text) - 0.6,
float(bottomLeft.find("latitude").text) - 0.6]
point_downright_buf = [float(bottomRight.find("longitude").text) + 0.6,
float(bottomRight.find("latitude").text) - 0.6]
point_upleft_buf = [lon_min - 0.6, lat_max + 0.6]
point_upright_buf = [lon_max + 0.6, lat_max + 0.6]
point_downleft_buf = [lon_min - 0.6, lat_min - 0.6]
point_downright_buf = [lon_max + 0.6, lat_min - 0.6]
scopes_buf = ([point_upleft_buf, point_upright_buf, point_downleft_buf, point_downright_buf], )
return scopes, scopes_buf