Land cover classification in high-resolution remote sensing: using Swin Transformer deep learning with texture features

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2024-08-07 DOI:10.1080/14498596.2024.2386317

Yongle Zhang, Min Huang, Yanxi Chen, Xingzhu Xiao, Hao Li

引用次数: 0

Abstract

The enhancement of spatial resolution has improved the spatial information conveyed by remote sensing images. Nevertheless, the impact of spectral-texture combined features on classification accura...

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高分辨率遥感中的土地覆被分类：利用纹理特征进行 Swin Transformer 深度学习

空间分辨率的提高改善了遥感图像传递的空间信息。然而，光谱-纹理组合特征对分类准确性的影响仍有待进一步研究。

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

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.