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Remote sensing image denoising method based on curvelet transform and goodness-of-fit test
更新时间：2025-05-26

    • Remote sensing image denoising method based on curvelet transform and goodness-of-fit test

    • “In the field of visible light remote sensing image denoising, experts have designed a denoising method based on curvelet transform and goodness of fit test. Experimental results show that its performance is superior to existing algorithms.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 53, Issue 11, Pages: 3207-3213(2023)
    • 作者机构：

      长春理工大学 数学与统计学院，长春 130022

    • DOI：10.13229/j.cnki.jdxbgxb.20211455    

      CLC： TP751

    • Received：30 December 2021，

      Published：01 November 2023

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  • CHENG Li-bo,LI Xin-yue,LI Zhe,et al.Remote sensing image denoising method based on curvelet transform and goodness-of-fit test[J].Journal of Jilin University(Engineering and Technology Edition),2023,53(11):3207-3213. DOI： 10.13229/j.cnki.jdxbgxb.20211455.

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