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Remote Sensing Letters Volume 15, 2024 - Issue 6
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Research Letter

A noise-robust water segmentation method based on synthetic aperture radar images combined with automatic sample collection

Zhuoyan Houa College of Computer and Information Engineering, Henan University, Kaifeng, China;b Henan Engineering Research Center of Intelligent Technology and Application, Henan University, Kaifeng, China;c Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng, ChinaView further author information
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Mengmeng Menga College of Computer and Information Engineering, Henan University, Kaifeng, China;b Henan Engineering Research Center of Intelligent Technology and Application, Henan University, Kaifeng, China;c Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng, ChinaView further author information
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Guichao Zhoua College of Computer and Information Engineering, Henan University, Kaifeng, China;b Henan Engineering Research Center of Intelligent Technology and Application, Henan University, Kaifeng, China;c Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng, ChinaView further author information
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Xuedong Zhangb Henan Engineering Research Center of Intelligent Technology and Application, Henan University, Kaifeng, China;c Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng, ChinaView further author information
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Mingjun Caob Henan Engineering Research Center of Intelligent Technology and Application, Henan University, Kaifeng, China;c Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng, ChinaView further author information
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Junhao Qiana College of Computer and Information Engineering, Henan University, Kaifeng, China;b Henan Engineering Research Center of Intelligent Technology and Application, Henan University, Kaifeng, China;c Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng, ChinaView further author information
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Ning Lia College of Computer and Information Engineering, Henan University, Kaifeng, China;b Henan Engineering Research Center of Intelligent Technology and Application, Henan University, Kaifeng, China;c Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng, ChinaORCID Iconhttps://orcid.org/0000-0002-4358-6449View further author information
ORCID Icon,
Yabo Huangc Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng, ChinaView further author information
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Lin Wua College of Computer and Information Engineering, Henan University, Kaifeng, China;b Henan Engineering Research Center of Intelligent Technology and Application, Henan University, Kaifeng, China;c Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng, ChinaView further author information
&
Linglin Xied The Second Surveying and Mapping Institute of Hunan Province, Changsha, China;e The Key Laboratory of Natural Resources Monitoring and Regulation in Southern Hilly Region, Ministry of Natural Resources of the People’s Republic of China, Changsha, ChinaCorrespondence[email protected]
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Pages 614-623 | Received 08 Jul 2023, Accepted 05 May 2024, Published online: 31 May 2024

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