Laser & Optoelectronics Progress, Volume. 53, Issue 9, 91002(2016)

Hyperspectral Image Destriping Based on Adaptive Unidirectional Variation

Liu Yamei*
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    References(13)

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    [6] [6] Bouali M, Ladjal S. Toward optimal destriping of MODIS data using a unidirectional variational model[J]. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(8): 2924-2935.

    [7] [7] Zhou G, Fang H, Yan L, et al. Removal of stripe noise with spatially adaptive unidirectional total variation[J]. Optik-International Journal for Light and Electron Optics, 2014,125(12): 2756-2762.

    [8] [8] Wu Zepeng, Jia Hongguang, Xuan Ming, et al. Nonuniformity correction algorithm for infrared focal plane arrays based on extended total variation [J]. Acta Optica Sinica, 2014, 34(3): 0304001.

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    [10] [10] Qiao Naosheng, Zhang Fen, Li Xiaoqin. Defect image preprocessing of printed circuit board[J]. Laser & Optoelectronics Progress, 2015, 52(2): 021003.

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    CLP Journals

    [1] Xue Zhixiang, Yu Xuchu, Tan Xiong, Fu Qiongying. Local Hypergraph Laplacian Regularized Low-Rank Representation for Noise Reduction of Hyperspectral Images[J]. Acta Optica Sinica, 2017, 37(5): 510001

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    Liu Yamei. Hyperspectral Image Destriping Based on Adaptive Unidirectional Variation[J]. Laser & Optoelectronics Progress, 2016, 53(9): 91002

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    Paper Information

    Category: Image Processing

    Received: Apr. 25, 2016

    Accepted: --

    Published Online: Sep. 14, 2016

    The Author Email: Yamei Liu (liuyamei1970@126.com)

    DOI:10.3788/lop53.091002

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