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

IF 1.4 4区地球科学 Q3 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY

Remote Sensing Letters Pub Date : 2024-05-31 DOI:10.1080/2150704x.2024.2359096

Zhuoyan Hou, Mengmeng Meng, Guichao Zhou, Xuedong Zhang, Mingjun Cao, Junhao Qian, Ning Li, Yabo Huang, Lin Wu, Linglin Xie

引用次数: 0

Abstract

Synthetic Aperture Radar (SAR) images have been widely used for surface water identification due to their all-weather capabilities. However, the presence of inherent speckle noise in SAR data poses...

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基于合成孔径雷达图像与自动样本采集相结合的去噪水体分割方法

合成孔径雷达 (SAR) 图像因其全天候功能而被广泛用于地表水识别。然而，合成孔径雷达数据中固有斑点噪声的存在给识别地表水带来了困难。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Remote Sensing Letters REMOTE SENSING-IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY

CiteScore

4.10

自引率

4.30%

发文量

审稿时长

6-12 weeks

期刊介绍： Remote Sensing Letters is a peer-reviewed international journal committed to the rapid publication of articles advancing the science and technology of remote sensing as well as its applications. The journal originates from a successful section, of the same name, contained in the International Journal of Remote Sensing from 1983 –2009. Articles may address any aspect of remote sensing of relevance to the journal’s readership, including – but not limited to – developments in sensor technology, advances in image processing and Earth-orientated applications, whether terrestrial, oceanic or atmospheric. Articles should make a positive impact on the subject by either contributing new and original information or through provision of theoretical, methodological or commentary material that acts to strengthen the subject.