Remote Sensing Image Scene Classification Using a Lightweight Network with Multi-scale Feature Fusion
Graphic and Image Processing|更新时间:2025-06-24
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Remote Sensing Image Scene Classification Using a Lightweight Network with Multi-scale Feature Fusion
“In the field of remote sensing image scene classification, experts have proposed the MSA ResNet model, which improves classification accuracy through multi-scale feature fusion, with an overall classification accuracy of 92.97%.”
ZHAO Yunfei,LI Wen,MA Songyao.Remote Sensing Image Scene Classification Using a Lightweight Network with Multi-scale Feature Fusion[J].Software Guide,2025,24(06):199-204.
ZHAO Yunfei,LI Wen,MA Songyao.Remote Sensing Image Scene Classification Using a Lightweight Network with Multi-scale Feature Fusion[J].Software Guide,2025,24(06):199-204. DOI: 10.11907/rjdk.241415.
Remote Sensing Image Scene Classification Using a Lightweight Network with Multi-scale Feature Fusion