EFFC-Net: lightweight fully convolutional neural networks in remote sensing disaster images

EFFC-Net: lightweight fully convolutional neural networks in remote sensing disaster images

Continuous development of remote sensing technology can rapidly and accurately extract secondary disaster information, such as the area of various disasters. However, in the extraction process, some disasters should be initially classified and identified. In view of this concept, a lightweight fully...

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Bibliographic Details
Main Authors: Jianye Yuan, Xin Ma, Zhentong Zhang, Qiang Xu, Ge Han, Song Li, Wei Gong, Fangyuan Liu, Xin Cai
Format: Article
Language:English
Published: Taylor & Francis Group 2025-01-01
Series:Geo-spatial Information Science
Subjects:
EFFC-Net
CNN
transformer
remote sensing image
fully convolutional neural network
Online Access:https://www.tandfonline.com/doi/10.1080/10095020.2023.2183145
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