Research on Lightweight Disaster Classification Based on High-Resolution Remote Sensing Images

With the increasing frequency of natural disasters becoming, it is very important to classify and identify disasters. We propose a lightweight disaster classification model, which has lower computation and parameter quantities and a higher accuracy than other classification models. For this purpose,...

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Detalhes bibliográficos

Principais autores:	Jianye Yuan, Xin Ma, Ge Han, Song Li, Wei Gong
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2022-05-01
coleção:	Remote Sensing
Assuntos:	disaster classification attention mechanism depth separable calculation amount parameter amount Grad-CAM
Acesso em linha:	https://www.mdpi.com/2072-4292/14/11/2577
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