Infrared and Laser Engineering, Volume. 47, Issue 2, 226002(2018)

Sparse unmixing of hyperspectral images based on Pareto optimization

Xu Xia1, Zhang Ning2, Shi Zhenwei1, Xie Shaobiao3, and Qi Naiming3
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    References(14)

    [1] [1] Pan B, Shi Z W, Zhang N, et al. Hyperspectral image classification based on nonlinear spectral-spatial network[J]. IEEE Geoscience and Remote Sensing Letters, 2016, 13(12): 1782-1786.

    [2] [2] Yang Xinfeng, Hu Xunuo, Nian Yongjian. Class-based compression algorithm for hyperspectral images[J]. Infrared and Laser Engineering, 2016, 45(2): 0228003. (in Chinese)

    [3] [3] Xu X, Shi Z W. Multi-objective based spectral unmixing for hyperspectral images[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2017, 124: 54-69.

    [5] [5] Tang Zhongqi, Fu Guangyuan, Chen Jin, et al. Multiscale segmentation-based sparse coding for hyperspectral image classification[J]. Optics and Precision Engineering, 2015, 23(9): 2708-2714. (in Chinese)

    [6] [6] Feng Shuyi, Zhang Ning, Shen Ji, et al. Method of cloud detection with hyperspectral remote sensing image based on the reflective characteristics[J]. Chinese Optics, 2015, 8(2): 198-204. (in Chinese)

    [8] [8] Fang Hong, Yang Hairong. Greedy algorithms and compressed sensing[J]. Acta Automatica Sinica, 2011, 37(12): 1413-1421. (in Chinese)

    [9] [9] Bi Yanmeng, Wang Qian, Yang Zhongdong, et al. Advances on space-based hyper spectral remote sensing for atmospheric CO2 in near infrared band[J]. Chinese Optics, 2015, 8(5): 725-735. (in Chinese)

    [10] [10] Qian C, Yu Y, Zhou Z. Subset selection by Pareto optimization[C]//Neural Inf Process Syst, 2015: 1765-1773.

    [11] [11] Bioucas-Dias J, Figueiredo M. Alternating direction algorithms for constrained sparse regression: application to hyperspectral unmixing[C]//2nd Workshop Hyperspectr. Image Signal Process Evol Remote Sens, 2010, 1: 1-4.

    [12] [12] Iordache M D, Bioucas-Dias J M, Plaza A. Total variation spatial regularization for sparse hyperspectral unmixing[J]. IEEE Trans Geosci Remote Sens, 2012, 50(11): 4484-4502.

    [13] [13] Shi Z, Tang W, Duren Z, et al. Subspace matching pursuit for sparse unmixing of hyperspectral data[J]. IEEE Trans Geosci Remote Sens, 2014, 52(6): 3256-3274.

    [14] [14] Pan B, Shi Z W, An Z Y, et al. A novel spectral-unmixing-based green algae area estimation method for GOCI data[J]. IEEE J Sel Topics Appl Earth Observ Remote Sens, 2017, 10(2): 437-449.

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    Xu Xia, Zhang Ning, Shi Zhenwei, Xie Shaobiao, Qi Naiming. Sparse unmixing of hyperspectral images based on Pareto optimization[J]. Infrared and Laser Engineering, 2018, 47(2): 226002

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    Paper Information

    Category: 信息获取与辨识

    Received: Aug. 5, 2017

    Accepted: Oct. 3, 2017

    Published Online: Apr. 26, 2018

    The Author Email:

    DOI:10.3788/irla201847.0226002

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