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    • Self-supervised remote sensing image denoising algorithm based on feature enhancement and contrastive learning

    • A new breakthrough has been made in the field of remote sensing image denoising. Experts have proposed a self supervised denoising algorithm based on feature enhancement and contrastive learning, which effectively solves the problem of denoising complex texture images and opens up new paths for improving the quality of remote sensing images.
    • Vol. 30, Issue 1, Pages: 198-212(2026)   

      Received:23 December 2024

      Published:07 January 2026

    • DOI: 10.11834/jrs.20254566     

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  • He X Q,Wang Z B,Zhao M,Chen L F and Bi X L. 2026. Self-supervised remote sensing image denoising algorithm based on feature enhancement and contrastive learning. National Remote Sensing Bulletin, 30(1):198-212 DOI: 10.11834/jrs.20254566.
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CHENG Binbin 信息工程大学 地理空间信息学院
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相关机构

Information Engineering University, Institute of Geospatial Information
School of Electronic Information, Hunan First Normal University
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