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Semantic segmentation of camouflage objects via fusing reconstructed multispectral and RGB images

Feng Huang Gonghan Yang Jing Chen Yixuan Xu Jingze Su Guimin Huang Shu Wang Wenxi Liu

Defence Technology(防务技术)2025，Vol.50Issue(8)：P.324-337,14.

Defence Technology(防务技术)2025，Vol.50Issue(8)：P.324-337,14.DOI:10.1016/j.dt.2025.04.006

Semantic segmentation of camouflage objects via fusing reconstructed multispectral and RGB images

Feng Huang ¹Gonghan Yang ¹Jing Chen ²Yixuan Xu ¹Jingze Su ³Guimin Huang ⁴Shu Wang ¹Wenxi Liu³

作者信息

1. School of Mechanical Engineering and Automation,Fuzhou University,Fuzhou,350108,China
2. College of Fine Arts,Minjiang University,Fuzhou,350108,China
3. College of Computer and Data Science,Fuzhou University,Fuzhou,350108,China
4. School of Economics and Management,Fuzhou University,Fuzhou,350108,China
折叠

摘要

关键词

Camouflage object detection/Reconstructed multispectral image(MSI)/Unmanned aerial vehicle(UAV)/Semantic segmentation/Remote sensing

分类

信息技术与安全科学

引用本文复制引用

Feng Huang,Gonghan Yang,Jing Chen,Yixuan Xu,Jingze Su,Guimin Huang,Shu Wang,Wenxi Liu..Semantic segmentation of camouflage objects via fusing reconstructed multispectral and RGB images[J].Defence Technology(防务技术),2025,50(8):P.324-337,14.

基金项目

National Natural Science Foundation of China(Grant Nos.62005049 and 62072110) （Grant Nos.62005049 and 62072110）

Natural Science Foundation of Fujian Province(Grant No.2020J01451). （Grant No.2020J01451）

Defence Technology(防务技术)

ISSN：2096-3459

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