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WaterProject

于 2021-03-06 发布
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下载积分: 1 下载次数: 2
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说明：  水体提取功能，里面主要实现了多源遥感卫星水体提取，入库，推送等后续代码功能(Water extraction function, which mainly realizes the multi-source remote sensing satellite water extraction, storage, push and other follow-up code functions)

文件列表：

WaterProject\CommonUtils\FtpDataProcess.py, 2087 , 2020-04-27
WaterProject\CommonUtils\ftp_client.py, 12135 , 2020-04-28
WaterProject\CommonUtils\log.py, 1024 , 2020-04-15
WaterProject\CommonUtils\MySQL_util.py, 3970 , 2020-04-29
WaterProject\CommonUtils\userftp.py, 1342 , 2020-04-29
WaterProject\CommonUtils\usersftp.py, 2490 , 2020-04-29
WaterProject\CommonUtils\__init__.py, 0 , 2017-11-12
WaterProject\CommonUtils\__pycache__\ftp_client.cpython-37.pyc, 5870 , 2020-04-28
WaterProject\CommonUtils\__pycache__\MySQL_util.cpython-37.pyc, 2794 , 2020-04-29
WaterProject\CommonUtils\__pycache__\userftp.cpython-37.pyc, 1339 , 2020-04-29
WaterProject\CommonUtils\__pycache__\usersftp.cpython-37.pyc, 2310 , 2020-04-29
WaterProject\CommonUtils\__pycache__\__init__.cpython-37.pyc, 158 , 2020-04-28
WaterProject\FlaskService\__init__.py, 0 , 2017-11-12
WaterProject\IDLapps\1\MAIN_S1_IW_Propress.sav, 4669380 , 2020-04-23
WaterProject\IDLapps\1\MAIN_S1_waterget_Propress.sav, 15688 , 2020-04-27
WaterProject\IDLapps\batch.txt, 0 , 2020-07-07
WaterProject\IDLapps\MAIN_S1_IW_Propress.bat, 153 , 2020-04-20
WaterProject\IDLapps\MAIN_S1_IW_Propress.sav, 3101468 , 2020-07-06
WaterProject\IDLapps\MAIN_S1_waterget_Propress.bat, 156 , 2020-04-27
WaterProject\IDLapps\MAIN_S1_waterget_Propress.sav, 16792 , 2020-06-12
WaterProject\IDLapps\MAIN_S2_Propress.bat, 150 , 2020-04-20
WaterProject\IDLapps\MAIN_S2_Propress.sav, 15452 , 2020-04-20
WaterProject\IDLapps\新建文本文档.txt, 869 , 2020-04-23
WaterProject\MainWaterProject.py, 12720 , 2020-07-10
WaterProject\schedule\__init__.py, 20244 , 2020-04-15
WaterProject\schedule\__init__.pyc, 22957 , 2020-04-15
WaterProject\src\DrawPicture.py, 4697 , 2020-04-22
WaterProject\src\getdata.py, 627 , 2020-05-04
WaterProject\src\GetWaterIndex.py, 6232 , 2020-05-06
WaterProject\src\MosaicClipCommon.py, 497 , 2020-05-22
WaterProject\src\rename.py, 1166 , 2020-07-06
WaterProject\src\__init__.py, 0 , 2017-11-12
WaterProject\src\__pycache__\DrawPicture.cpython-37.pyc, 2754 , 2020-04-23
WaterProject\src\__pycache__\GetWaterIndex.cpython-37.pyc, 3901 , 2020-05-06
WaterProject\src\__pycache__\__init__.cpython-37.pyc, 150 , 2020-04-23
WaterProject\SysConfig\WaterProject.yml, 1751 , 2020-07-06
WaterProject\CommonUtils\__pycache__, 0 , 2020-04-29
WaterProject\IDLapps\1, 0 , 2020-07-06
WaterProject\src\__pycache__, 0 , 2020-05-06
WaterProject\CommonUtils, 0 , 2020-04-29
WaterProject\FlaskService, 0 , 2020-04-23
WaterProject\IDLapps, 0 , 2020-07-07
WaterProject\schedule, 0 , 2020-04-22
WaterProject\src, 0 , 2020-07-06
WaterProject\SysConfig, 0 , 2020-04-18
WaterProject\SysLog, 0 , 2020-04-18
WaterProject, 0 , 2020-04-22

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    一种基于半监督的svm的图像分类方法。该方法通过聚类核的方法利用无标记样本局部正则化训练核的表达式。这种方法通过图像直接学习一个自适应的核。该程序仿真的是文章：Semi-supervised Remote Sensing Image Classification with Cluster Kernels。大家可以参考下。(A semi-supervised SVM is presented for the classification of remote sensing images. The method exploits the wealth of unlabeled samples for regularizing the training kernel representation locally by means of cluster kernels. The method learns a suitable kernel directly from the image, and thus avoids assuming a priori signal relations by using a predefined kernel structure. Good results are obtained in image classification examples when few labeled samples are available. The method scales almost linearly with the number of unlabeled samples and provides out-of-sample predictionsds)
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