• Infrared and Laser Engineering
  • Vol. 44, Issue 6, 1950 (2015)
Yang Xinfeng1、*, Liu Yuanchao2, Nian Yongjian3, and Teng Shuhua3
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    DOI: Cite this Article
    Yang Xinfeng, Liu Yuanchao, Nian Yongjian, Teng Shuhua. Distributed compression for hyperspectral images[J]. Infrared and Laser Engineering, 2015, 44(6): 1950 Copy Citation Text show less
    References

    [1] Cheng K J, Dell J. Lossless to lossy dual-tree BEZW compression for hyperspectral images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(9): 5765-5770.

    [2] Tang X L, Cho S, Pearlman W A. 3D set partitioning coding methods in hyperspectral image[C]//Proceedings of the IEEE International Conference on Image Processing, 2003: 239-242.

    [3] Blanes I, Serra-Sagrista J. Pairwise orthogonal transform for spectral image coding[J]. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(3): 961-972.

    [4] Penna B, Tillo T, Magli E, et al. Transform coding techniques for lossy hyperspectral data compression[J]. IEEE Transactions on Geoscience and Remote Sensing, 2007, 45(5): 1408-1421.

    [5] Du Q, Zhu W, Yang H, et al. Segmented principal component analysis for parallel compression of hyperspectral imagery[J]. IEEE Geoscience and Remote Sensing Letters, 2009, 6(4): 713-717.

    [6] ISO/IEC 15444-2. JPEG 2000 part 2-extensions[S].

    [7] Xiong Z, Liveris A D, Cheng S. Distributed source coding for sensor networks[J]. IEEE Signal Processing Magzine, 2004, 21(5): 80-94.

    [8] Magli E, Barni M, Abrardo A, et al. Distributed source coding techniques for lossless compression of hyperspectral images[J]. EURASIP Journal on Advanced Signal Processing, 2007, 1: 1-13.

    [9] Slepian D, Wolf J K. Noiseless coding of correlated information sources[J]. IEEE Transactions on Information Theory, 1973, 19(4): 471-480.

    [10] Wyner A D, Ziv J. The bit-rate distortion function for source coding with side information at the decoder[J]. IEEE Transactions on Information Theory, 1976, 22(1): 1-10.

    [11] Nonnis A, Grangetto M, Magli E, et al. Improved low-complexity intraband lossless compression of hyperspectral images by means of Slepian-Wolf coding[C]// Proceeding of the International Conference on Image Processing, 2005: 829-832.

    [12] Grangetto M, Magli E, Olmo G. Distributed arithmetic coding for the Slepian-Wolf problem[J]. IEEE Transaction on Signal Processing, 2009, 57(6): 2245-2257.

    [13] Abrardo A, Barni M, Magli E, et al. Error-resilient and low-complexity onboard lossless compression of hyperspectral images by means of distributed source coding[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(4): 1892-1904.

    [14] Nian Y J, Wan J W, Tang Y, et al. Near lossless compression of hyperspectral images based on distributed source coding[J]. Science China Information Sciences, 2012, 55(11): 2646-2655.

    [15] Nian Y J, He M, Wan J W. Low-complexity compression algorithm for hyperspectral images based on distributed source coding[J]. Mathematical Problems in Engineering, 2013.

    [16] Magli E, Olmo G, Quacchio E. Optimized onboard lossless and near-lossless compression of hyperspectral data using CALIC[J]. IEEE Geoscience and Remote Sensing Letters, 2004, 1(1): 21-25.

    [17] Abdrea A, Barni M, Magli E. Low-complexity predictive lossy compression of hyperspectral and ultraspectral images[C]//Proceedings of IEEE International Conference on Acoustic Speech and Signal Processing, 2011: 797-800.

    Yang Xinfeng, Liu Yuanchao, Nian Yongjian, Teng Shuhua. Distributed compression for hyperspectral images[J]. Infrared and Laser Engineering, 2015, 44(6): 1950
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