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

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research 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

摘要

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

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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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.