• Journal of Infrared and Millimeter Waves
  • Vol. 23, Issue 5, 349 (2004)
[in Chinese], [in Chinese], and [in Chinese]
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  • [in Chinese]
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    [in Chinese], [in Chinese], [in Chinese]. ADAPTIVE COMPREESION OF HYPER-SPECTRAL IMAGES BASED ON UNIFORM TRELLIS-CODED QUANTIZATION[J]. Journal of Infrared and Millimeter Waves, 2004, 23(5): 349 Copy Citation Text show less
    References

    [1] Aiazzi B, Alba P. Loss-less compression of multi/hyper-spectral imagery based on a 3-D Fuzzy Prediction [J], IEEE Trans. Geo-science and Remote Sensing, 1999, 37(5): 2287-2294.

    [2] Abousleman GP, Lam T T. Robust hyper-spectral image coding with channel-optimazed trellis coded quantization[J]. IEEE Trans. Geo-science and Remote Sensing, 2002, 40(4): 820-830.

    [3] Lim S, Sohn K. Compression for hyper-spectral images using 3-dimensional wavelet transform. Proceeding of IEEE International Geo-science and Remote Sensing Symposium, 2001, 1: 109-111.

    [4] Christopoulos C, Skodras A. The JPEG2000 still image coding system: an overview[J], IEEE Trans. Consumer Electronics, 2000, 46(4): 1103-1127.

    [5] Marcellin M W, On entropy-constrained trellis coded quantization[J]. IEEE Trans. Communication, 1994, 42(1): 14-16.

    [6] Aiazzi B, Alparone L. Information-theoretic assessment of sampled hyper-spectral images[J]. IEEE Trans. Geoscience and Remote Sensing, 2001, 39(7): 1447-1458.

    [7] Woods J W, Naveen T. A filter based bit allocation scheme for sub-band compression of HDTV [J]. IEEE Trans. Image Processing, 1992, 1(3): 436-440.

    [in Chinese], [in Chinese], [in Chinese]. ADAPTIVE COMPREESION OF HYPER-SPECTRAL IMAGES BASED ON UNIFORM TRELLIS-CODED QUANTIZATION[J]. Journal of Infrared and Millimeter Waves, 2004, 23(5): 349
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