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

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...

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Bibliographic Details
Main Authors:	Guoying Wang, Jiahao Chen, Lufeng Mo, Peng Wu, Xiaomei Yi
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2024-02-01
Series:	Frontiers in Environmental Science
Subjects:	semantic Segmentation remote sensing image land cover classification attention mechanism classification of surface objects
Online Access:	https://www.frontiersin.org/articles/10.3389/fenvs.2024.1329517/full

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