Lightweight land cover classification via semantic segmentation of remote sensing imagery and analysis of influencing factors

Land cover classification is of great value and can be widely used in many fields. Earlier land cover classification methods used traditional image segmentation techniques, which cannot fully and comprehensively extract the ground information in remote sensing images. Therefore, it is necessary to i...

詳細記述

書誌詳細

出版年:	Frontiers in Environmental Science
主要な著者:	Guoying Wang, Jiahao Chen, Lufeng Mo, Peng Wu, Xiaomei Yi
フォーマット:	論文
言語:	英語
出版事項:	Frontiers Media S.A. 2024-02-01
主題:	semantic Segmentation remote sensing image land cover classification attention mechanism classification of surface objects
オンライン･アクセス:	https://www.frontiersin.org/articles/10.3389/fenvs.2024.1329517/full