Journal of Infrared and Millimeter Waves, Volume. 40, Issue 2, 272(2021)

The method based on L1 norm optimization model for stripe noise removal of remote sensing image

Kai LI1,2,3, Wen-Li LI1,2,3, and Chang-Pei HAN1,2、*
Author Affiliations
  • 1Shanghai Institute of Technical Physics,Chinese Academy of Sciences,Shanghai 200083,China
  • 2Key Laboratory of Infrared Detection and Imaging Technology,Chinese Academy of Sciences,Shanghai 200083,China
  • 3University of Chinese Academy of Sciences,Beijing 100049,China
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    References(24)

    [3] Valenzuela W E, Figueroa M, Pezoa J E et al. A digital architecture for striping noise compensation in push-broom hyperspectral cameras[C], 9599, 95992H(2015).

    [8] TAN Dong-Jie, ZHANG An. Non-uniformity correction based on local histogram specification[J]. Infrared Technology, 35, 325-328(2013).

    [9] Shen H, Zhang L. A MAP-based algorithm for destriping and inpainting of remotely sensed images[J]. IEEE Transactions on Geoscience and Remote Sensing, 47, 1492-1502(2008).

    [11] Chang Y, Yan L, Fang H et al. Simultaneous destriping and denoising for remote sensing images with unidirectional total variation and sparse representation[J]. IEEE Geoscience and Remote Sensing Letters, 11, 1051-1055(2013).

    [20] He K, Sun J, Tang X. Guided image filtering[J]. IEEE transactions on pattern analysis and machine intelligence, 35, 1397-1409(2012).

    [22] Carfantan H, Idier J. Statistical linear destriping of satellite-based pushbroom-type images[J]. IEEE transactions on geoscience and remote sensing, 48, 1860-1871(2009).

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    Kai LI, Wen-Li LI, Chang-Pei HAN. The method based on L1 norm optimization model for stripe noise removal of remote sensing image[J]. Journal of Infrared and Millimeter Waves, 2021, 40(2): 272

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    Paper Information

    Category: Research Articles

    Received: Apr. 26, 2020

    Accepted: --

    Published Online: Aug. 31, 2021

    The Author Email: Chang-Pei HAN (changpei_han@mail.sitp.ac.cn)

    DOI:10.11972/j.issn.1001-9014.2021.02.018

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