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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Bibliographic Details

Published in:	Remote Sensing
Main Authors:	Jianye Yuan, Xin Ma, Ge Han, Song Li, Wei Gong
Format:	Article
Language:	English
Published:	MDPI AG 2022-05-01
Subjects:	disaster classification attention mechanism depth separable calculation amount parameter amount Grad-CAM
Online Access:	https://www.mdpi.com/2072-4292/14/11/2577