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    • Cascade learning for object detection in remote sensing images under foggy conditions

    • This paper introduces the research progress in the field of target detection in foggy remote sensing images. Relevant experts have established a cascading learning CL-FODM system for target detection in foggy conditions, providing an effective solution to the problem of decreased performance in target detection under foggy conditions.
    • Vol. 30, Issue 2, Pages: 347-357(2026)   

      Received:14 January 2025

      Published:07 February 2026

    • DOI: 10.11834/jrs.20255024     

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  • Wan Y,Li J,Zheng L,Lin L P,Yuan Q Q,Li H F and Yang Y. 2026. Cascade learning for object detection in remote sensing images under foggy conditions. National Remote Sensing Bulletin, 30(2):347-357 DOI: 10.11834/jrs.20255024.
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相关作者

Wan Yu 武汉大学 测绘学院
Li Jie 武汉大学 测绘学院
Zheng Li 武汉大学 测绘学院
Lin Liupeng 武汉大学 资源与环境科学学院
Yuan Qiangqiang 武汉大学 测绘学院
Li Huifang 武汉大学 资源与环境科学学院
Yang Yi 武汉体育学院 智能体育工程学院
LI Xingmei 江西理工大学 土木与测绘工程学院

相关机构

Jiangxi Provincial Key Laboratory of Water Ecological Conservation in Headwater Regions, Jiangxi University of Science and Technology
Geospatial Information Engineering Team, Jiangxi Provincial Geological Bureau
School of Civil and Surveying Engineering, Jiangxi University of Science and Technology
School of Economics and Management, Jiangxi University of Science and Technology
School of Cyber Science and Technology, University of Science and Technology of China
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