Optics and Precision Engineering, Volume. 15, Issue 10, 1609(2007)

A robust hyperspectral image compression method

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    References(7)

    [2] [2] HYV(A)RINEN A,KARHUNEN J,OJA E.Independent Component Analysis[M].New York:Wiley,2001.

    [3] [3] CHEIN I C,QIAN D.Estimation of number of spectrally distinct signal sources in hyperspectral imagery[J].IEEE Transactions on Geoscience and Remote Sensing,2004,42(3):608-619.

    [5] [5] JOSEPH C H.Detection and classification of subpixel spectral signatures in hyperspectral image sequences[D].Maryland:University of Maryland,1993.

    [6] [6] AMIR S,WILLIAM A P.A new,fast,and efficient image codec based on set partitioning in hierarchical trees[J].IEEE Transactions on Circuits and Systems for Video Technology,1996,6(3):243-250.

    [7] [7] GREEN A A,BERMAN M,SWITZER P,et al..A transformation for ordering multispectral data in terms of image quality with implications for noise removal[J].IEEE Transactions on Geoscience and Remote Sensing,1988,26(1):65-74.

    [8] [8] RAMAKRISHNA B,WANG J,CHEIN I C.Spectral/spatial hyperspectral image compression in conjunction with virtual dimensionality[J].SPIE,2005,5806:772-781.

    [9] [9] http://www.cis.hut.fi/projects/ica/[Z].

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    [2] GAO Heng-zhen, WAN Jian-wei, NIAN Yong-jian, WANG Li-bao, XU Zhan. Fusion classification of hyperspectral image by composite kernels support vector machine[J]. Optics and Precision Engineering, 2011, 19(4): 878

    [3] SUN Lei, GU De-feng, LUO Jian-shu. Hyperspectral image lossless compression based on optimal recursive bidirectional prediction[J]. Optics and Precision Engineering, 2009, 17(11): 2864

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    [in Chinese], [in Chinese], [in Chinese], [in Chinese]. A robust hyperspectral image compression method[J]. Optics and Precision Engineering, 2007, 15(10): 1609

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    Paper Information

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    Received: Jan. 30, 2007

    Accepted: --

    Published Online: Feb. 18, 2008

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