Volume 41 Issue 7
Jul.  2016
Turn off MathJax
Article Contents
Abstract
References
Related Articles
CHEN Shanxue, ZHENG Wenjing, ZHANG Jiajia, LI Fangwei. Fast Compression Algorithm for Hyperspectral Image Based on Dispersion Sorting in Transform Domain[J]. Geomatics and Information Science of Wuhan University, 2016, 41(7): 868-874. DOI: 10.13203/j.whugis20140270
Citation: CHEN Shanxue, ZHENG Wenjing, ZHANG Jiajia, LI Fangwei. Fast Compression Algorithm for Hyperspectral Image Based on Dispersion Sorting in Transform Domain[J]. Geomatics and Information Science of Wuhan University, 2016, 41(7): 868-874. DOI: 10.13203/j.whugis20140270
shu

Fast Compression Algorithm for Hyperspectral Image Based on Dispersion Sorting in Transform Domain

  • 1.

    Chongqing Key Laboratary of Mobile Communications Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

More Information
  • Received Date: February 17, 2015
  • Published Date: July 04, 2016
    Graphical Abstract
    • Abstract
  • A fast compression algorithm for hyperspectral images based on dispersion sorting in transform domain is proposedConsidering the characteristics of hyperspectral data in the Hadamard domain, the proposed algorithm selects a favourable order adaptively and sorts the dimensions of spectral vectors by dispersion. Consequently, the energy and difference of the spectral vectors is concentrated on the lower dimensions and the dimensions of high signal to noise ratio are moved into low dimensional subspace. Then, efficient eliminating inequalities are constructed. When combinined with the LBG(Linde Bazo Gray) clustering algorithm, the proposed algorithm quickly completes the encoding of hyperspectral images via vector quantization. Experiments were conducted under different compression ratios The results show that, the compression algorithm for hyperspectral images as presented in this paper can reduce the computational complexity significantly when completing fast compression based on the precondition of good recovery quality.
    • FullText(HTML)
    • References (21)
  • [1]
    Bioucas-Dias J, Plaza A, Camps-Valls G, et al. Hyperspectral Remote Sensing Data Analysis and Future Challenges[J]. IEEE Geoscience and Remote Sensing Magazine, 2013, 1(2): 6-36
    [2]
    谭琨, 杜培军, 王小美. 利用分离性测度多类支持向量机进行高光谱遥感影像分类[J]. 武汉大学学报·信息科学版, 2011, 36(2): 171-175)

    Tan Kun, Du Peijun, Wang Xiaomei. Multi-class Support Vector Machine Classifier Based on Separability Measure for Hyperspectral Remote Sensing Image Classification[J]. Geomatics and Information Science of Wuhan University, 2011, 36(2): 171-175
    [3]
    施蓓琦, 刘春, 陈能, 等. 利用高光谱遥感影像纹理滤波的城市居民地识别[J]. 武汉大学学报·信息科学版, 2012, 37(8): 915-920)

    Shi Beiqi, Liu Chun, Chen Neng, et al. Residential Area Recognition Using Texture Filtering from Hyper-spectral Remote Sensing Imagery[J]. Geomatics and Information Science of Wuhan University, 2012, 37(8): 915-920
    [4]
    王凯, 舒宁, 李亮, 等. 利用ICA正交子空间投影加权的高光谱影像目标探测算法[J]. 武汉大学学报·信息科学版, 2013, 38(4): 440-444)

    Wang Kai, Shu Ning, Li Liang, et al. Weighted Hyperspectral Image Target Detection Algorithm Based on ICA Orthogonal Subspace Projection[J]. Geomatics and Information Science of Wuhan University, 2013, 38(4): 440-444
    [5]
    Mielikainen J, Huang B. Lossless Compression of Hyperspectral Images Using Clustered Linear Prediction with Adaptive Prediction Length[J]. IEEE Geoscience and Remote Sensing Letters, 2012, 9(6): 1118-1121
    [6]
    Li C, Guo K. Lossless Compression of Hyperspectral Images Using Interband Gradient Adjusted Prediction[C]. Software Engineering and Service Science (ICSESS), 20134th IEEE International Conference on IEEE, Lanzhou, China, 2013
    [7]
    Singh V. Lossless Hyperspectral Image Compression Using Intraband and Interband Predictors[C]. Advances in Computing, Communications and Informatics (ICACCI), 2014 International Conference on IEEE, Greater Noida, India, 2014
    [8]
    Li C, Guo K. Lossless Compression of Hyperspectral Images Using Three-Stage Prediction with Adaptive Search Threshold[J]. International Journal of Signal Processing(Image Processing and Pattern Recognition), 2014, 7(3):305-316
    [9]
    Anantha Krishnan S, Suresh K S, Ponmani E. Lossless Compression of Hyperspectral Images Using Multi Stage Prediction[J]. International Journal of Applied Engineering Research, 2014, 9(18): 5095-5104
    [10]
    Karami A, Yazdi M, Mercier G. Compression of Hyperspectral Images Using Discrete Wavelet Transform and Tucker Decomposition[J]. IEEE Journal on Selected Topics in Applied Earth Observations and Remote Sensing, 2012, 5(2): 444-450
    [11]
    Ebadi L, Shafri H Z M. Compression of Remote Sensing Data Using Second-generation Wavelets: A Review[J]. Environmental Earth Sciences, 2014, 71(3): 1379-1387
    [12]
    Qiao T, Ren J, Sun M, et al. Effective Compression of Hyperspectral Imagery Using an Improved 3D DCT Approach for Land-cover Analysis in Remote-sensing Applications[J]. International Journal of Remote Sensing, 2014, 35(20): 7316-7337
    [13]
    杜博, 张乐飞, 章梦飞.基于张量主成分分析的人脸图像压缩与重构[J]. 华中科技大学学报 (自然科学版), 2013, 41(S2):201-204)

    Du Bo, Zhang Lefei, Zhang Mengfei, et al. Tensor-Based Principal Component Analysis for Face Image Compression and Re-construction[J]. Huazhong University of Science and Technology (Natural Science Edition), 2013, 41(S2):201-204
    [14]
    Cheng K J, Dill J C. An Improved EZW Hyperspectral Image Compression[J]. Journal of Computer and Communications, 2014, 2-31
    [15]
    Chen Shanxue, Wu Libin, Wang Jiaguo, et al. A Fast Method for Coding Hyperspectral Signal [P]. Chinese Patent : 201110272304X, 2011-11-28
    [16]
    陈善学, 韩勇, 于佳佳, 等. 矢量维数分割量化的高光谱图像压缩算法[J]. 系统工程与电子技术, 2013, 35(9): 1989-1993)

    Chen Shanxue, Han Yong, Yu Jiajia, et al. Compression Algorithm of Hyperspectral Image Based on Vector Dimension Segmentation Quantization[J]. Journal of Systems Engineering and Electronics, 2013, 35(9): 1989-1993
    [17]
    Wen J, Ma C, Zhao J. FIVQ Algorithm for Interference Hyper-spectral Image Compression[J]. Optics Communications, 2014, 322: 97-104
    [18]
    Li X, Ren J, Zhao C, et al. Novel Multivariate Vector Quantization for Effective Compression of Hyperspectral Imagery[J].Optics Communications, 2014, 332: 192-200
    [19]
    Sujithra D S, Manickam T, Sudheer D S. Compression of Hyperspectral Image Using Discrete Wavelet Transform and Walsh Hadamard Transform[J]. International Journal of Advanced Research in Electronics and Communication Engineering, 2013, 2(3): 314-319
    [20]
    陈善学,李方伟.矢量量化技术及其在图像信号处理中的应用研究[M]. 北京:科学出版社, 2009: 50-53; 60-129; 156-168)

    Chen Shanxue, Li Fangwei. Research on Vector Quantization Technology and Its Application in Image-Signal Processing[M]. Beijing: Science Press, 2009: 50-53; 60-129; 156-168
    [21]
    Linde Y, Buzo A, Gray R. An Algorithm for Vector Quantizer Design[J]. IEEE Transactions on Communication, 1980, 28(1): 84-95
    • Related Articles

  • Related Articles

    [1]WANG Xiaolong, ZHANG Liming, YAN Haowen, LU Xiaomin. A Coordinate Encryption Algorithm for Vector Spatial Data Using Haar Transform and Gaussian Random Number[J]. Geomatics and Information Science of Wuhan University, 2022, 47(11): 1946-1955. DOI: 10.13203/j.whugis20200219
    [2]NI Haochen, WU Zhongjie, JIA Jian, XU Dibao, RUI Yikang, WANG Jiechen. A Gird Line Vectorization Method Based on Delaunay Triangulation[J]. Geomatics and Information Science of Wuhan University, 2016, 41(2): 184-189. DOI: 10.13203/j.whugis20140582
    [3]HU Wei, TAO Weidong, YUAN Zhenyu, WANG Jiechen. A Method of Vectorization of Scanning Map Based on Voronoi Diagrams[J]. Geomatics and Information Science of Wuhan University, 2013, 38(4): 470-474.
    [4]HUANG Xionghua, WANG Hongxia, JIANG Weizhen, CUI Gengshen. An Adaptive Robust Audio Blind Watermarking Algorithm Using Dithering Quantization and SNR[J]. Geomatics and Information Science of Wuhan University, 2013, 38(1): 121-125.
    [5]LI Fei, ZHOU Xiaoguang. A Self-intersecting Polygon Processing Algorithm in the Vectorization of Classified Raster Data[J]. Geomatics and Information Science of Wuhan University, 2013, 38(1): 100-104.
    [6]WAN Xue. Generalized Point Photogrammetry Feature Extraction Based on Harris Operator and Vectorization[J]. Geomatics and Information Science of Wuhan University, 2012, 37(2): 145-148.
    [7]ZHONG Heping, TANG Jinsong, ZHANG Sen, CHEN Ming. A Fast Phase Unwrapping Algorithm Based on Quantized Quality Map and Priority Queue[J]. Geomatics and Information Science of Wuhan University, 2011, 36(3): 342-345.
    [8]ZHU Haijun, WU Huayi, LI Deren. DCT-Based GIS Vector Data Compression[J]. Geomatics and Information Science of Wuhan University, 2007, 32(12): 1123-1126.
    [9]Shen Weiming, Qiu Tong, Zeng Yong, Zhang Hua. Neural Network Based Vector Quantizer and Lossy Compressed Coding on Remotely Sensed Image[J]. Geomatics and Information Science of Wuhan University, 1996, 21(2): 124-127.
    [10]Yuan Guoliu. An Approach to the Design of the Vector Quantizer for Image Signals[J]. Geomatics and Information Science of Wuhan University, 1989, 14(1): 74-81.

Catalog

    Get Citation
    PDF
    XML
    Article views (1494) PDF downloads (269) Cited by()
    Related

    Copyright © 2013 《武汉大学学报·信息科学版》编辑部

    Address：武汉大学文理学部本科生院楼北5楼Post Code：430072

    Tel：027-68778465,68788631E-mail:whuxxb@vip.163.com

    Submit Article

    Submission Guidelines

    e

    Contact Us

    Qrcode

    Supported by: Beijing Renhe Information Technology Co., Ltd.  Baidu Analytics

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return