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    • Wheat acreage retrieval based on self-supervised learning-based spectral unmixing algorithm

    • “Remote sensing technology has made new breakthroughs in the field of wheat planting area inversion, and the SLSU algorithm significantly improves extraction accuracy and stability.”
    • Vol. 28, Issue 9, Pages: 2405-2415(2024)   

      Received：30 June 2022，

      Published：07 September 2024

    • DOI： 10.11834/jrs.20222315     

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  • Hu J L，Duan J L，Shama A G and Zhang R. 2024. Wheat acreage retrieval based on self-supervised learning-based spectral unmixing algorithm. National Remote Sensing Bulletin， 28（9）：2405-2415 DOI： 10.11834/jrs.20222315.
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HU Jinlong 西南交通大学,地球科学与环境工程学院测绘遥感信息系;西南石油大学,土木工程与测绘学院
DUAN Jinliang 西南交通大学,地球科学与环境工程学院测绘遥感信息系
SHAMA Age 西南交通大学,地球科学与环境工程学院测绘遥感信息系
ZHANG Rui 西南交通大学,地球科学与环境工程学院测绘遥感信息系;西南交通大学,高速铁路运营安全空间信息技术国家地方联合工程实验室
CHENG Binbin 信息工程大学 地理空间信息学院
YU Ying 信息工程大学 地理空间信息学院
ZHANG Lei 信息工程大学 地理空间信息学院
WANG Ziquan 信息工程大学 地理空间信息学院

相关机构

State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University
School of Civil Engineering and Geomatics, Southwest Petroleum University
Demonstration Centre for Spaceborne Remote Sensing National Space Administration
Information Engineering University, Institute of Geospatial Information
Fundamental Science on Communication Information Transmission and Fusion Technology Laboratory, Hangzhou Dianzi University
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