DSNet：用于光学遥感图像中精细船舶分类的双流网络

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2024-07-23 DOI:10.1080/2150704x.2024.2377211

Shijun Yang, Xiang Zhang, Wanqing Zhao, Qiyao Hu, Hangzai Luo, Cheng Liu, Sheng Zhong, Jinye Peng

引用次数: 0

摘要

遥感中的细粒度船舶分类（FGSC）任务旨在区分下属船舶类别。由于不同子类别之间的高度相似性和显著的差异性，FGSC任务需要对不同子类别进行分类。

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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DSNet: dual-stream network for fine-grained ship classification in optical remote sensing images

The fine-grained ship classification (FGSC) task in remote sensing aims to distinguish subordinate ship categories. Due to the high similarity among different subcategories and the significant vari...

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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.