• Infrared Technology
  • Vol. 42, Issue 10, 969 (2020)
Li WANG, Wei WANG, and Boni LIU
Author Affiliations
  • [in Chinese]
  • show less
    DOI: Cite this Article
    WANG Li, WANG Wei, LIU Boni. Sparse Decomposition of Hyperspectral Images Based on Spectral Correlation[J]. Infrared Technology, 2020, 42(10): 969 Copy Citation Text show less
    References

    [1] NIU Y, WANG B. Extracting Target Spectrum for hyperspectral target detection: an adaptive weighted learning method using a self-completed background dictionary[J]. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(3): 1604-1617. (DOI: 10.1109/TGRS.2016.2628085)

    [4] FANG L, HE N, LI S, et al. A new spatial-spectral feature extraction method for hyperspectral images using local covariance matrix representation[J]. IEEE Transactions on Geoscience and Remote Sensing,2018, 56(6): 3534-3546. (DOI: 10.1109/ TGRS.2018.2801387).

    [6] CHANG C I. A review of virtual dimensionality for hyperspectral imagery[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11(4): 1285-1305. (DOI:10.1109 /JSTARS. 2017.2782706).

    [9] GUO K, XIE X, XU X, et al. Compressing by learning in a low-rank and sparse decomposition form[J]. IEEE Access, 2019, 7: 150823-150832.

    [11] YAO L, DU X. Identification of underwater targets based on sparse representation[J]. IEEE Access, 2020(8): 215-228.

    [12] TAN Shoubiao, SUN Xi, CHAN Wentao, et al. Robust face recognition with kernelized locality-sensitive group sparsity representation[J]. IEEE Transactions on Image Processing, 2017, 26(10): 4661-4668.

    [13] PAN L, LI H C, MENG H, et al. Hyperspectral image classification via low-rank and sparse representation with spectral consistency constraint[J]. IEEE Geoscience and Remote Sensing Letters, 2017, 14(11):2117-2121.

    [15] SONG X, WU L and HAO H. Hyperspectral image denoising base on adaptive sparse representation[C]//2018 IEEE Third International Conference on Data Science in Cyberspace (DSC), 2018: 735-739.

    [16] MEI S, HOU J, CHEN J, et al. Simultaneous spatial and spectral low-rank representation of hyperspectral images for classification[J].IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(5):2872-2886.

    [17] TROPP J A, GILBERT A C. Signal recovery from random measurements via orthogonal matching pursuit[J]. IEEE Transactions on Information Theory, 2007, 53(12): 4655-4666.

    [18] Kulkarni A, Mohsenin T. Low overhead architectures for OMP compressive sensing reconstruction algorithm[C]//IEEE Transactions on Circuits and Systems I: Regular Papers, 2017, 64(6): 1468-1480.

    [19] CHEN S, DONOHO D, Saunders M. Atomic decomposition by basis pursuit[J]. SIAM Journal on Scientific Computing, 1999, 20: 33- 61.

    WANG Li, WANG Wei, LIU Boni. Sparse Decomposition of Hyperspectral Images Based on Spectral Correlation[J]. Infrared Technology, 2020, 42(10): 969
    Download Citation