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《Journal of Electronics & Information Technology》 2009-04
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The Lossless Compression Method for Hyperspectral Images Based on Optimized Prediction Tree

Xia Hao Zhang Rong (Information Processing Center, University of Science & Technology of China, Hefei 230027, China)  
Prediction tree is a traditional and efficient method for lossless compression of hyperspectral image. In this paper an optimized method based on prediction tree is presented. To express the variation of local context of two neighboring bands, a partial extending factor is introduced to compensate the predicted value of current pixel so as to reduce the prediction error. Furthermore, a synthetical prediction based lossless compression scheme for AVIRIS hyperspectral images is proposed. Experimental results demonstrate that the proposed method works efficiently on AVIRIS images with low complexity and limited memory.
【CateGory Index】: TP751
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【Citations】
Chinese Journal Full-text Database 3 Hits
1 ;Research Advances on Lossless Compression of Hyperspectral Image[J];Measurement & Control Technology;2004-05
2 WU Zheng,HE Ming-yi,FENG Yan,JIA Ying-biao (School of Electronics & Information, Northwestern Polytechnical University, Xi'an 710072, China);Lossless Compression of Multispectral Imagery by Error Compensated Prediction Tree[J];Journal of Remote Sensing;2005-02
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【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 WANG Lang,GUO Shu-xu(College of Electronic Science and Engineering,Jilin University,Changchun 130012,China);Hyperspectral Image Lossless Compression Algorithm Based on Bidirectional Interband Prediction[J];Journal of Jilin University(Information Science Edition);2009-03
2 HE Shou-yin1,ZHANG Li-yan21.Shenlang Electronic Technology Limited Company,Beijing 100011,China;2.The key Lab of Resource Environment and GIS,Capital Normal University,Beijing 100037,China;Research on Image Compression Method Based on Anomaly Detection[J];Chinese Journal of Electron Devices;2008-02
3 Huo Cheng-fu Zhang Rong(Department of Electronic Engineering and Information Science,University of Science and Technology of China,Hefei 230027,China);Lossless Compression Based on Searching the Optimal Couple Prediction Wavebands for Hyperspectral Image[J];Journal of Electronics & Information Technology;2009-05
4 Yan Jingwen1 Qu Xiaobo2 Chen Jiazhen21 Department of Electronic Engineering,Shantou University,Shantou 5150632 Department of Electronic Engineering,Xiamen University,Xiamen 361005;A New Quasi-Lossless Compression of Partitioned KLT and IWT Multispectral Images[J];Acta Optica Sinica;2007-10
5 SHI Da-lian1,Lü Qun-bo1,2,CUI Yan1,2,GAO Jing1,YUAN Yan3,HUANG Min1(1 Xi'an Institute of Optics and Precision Mechanics,Chinese Academy of Sciences,Xi'an 710119,China)(2 Graduate University ofChinese Academy of Sciences,Beijing 100049,China)(3 Beihang University,Beijing 100083,China);Objective Measurement of Spectral Distortion[J];Acta Photonica Sinica;2009-06
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7 Feng Yan He Mingyi Jia Yingbiao Wu Zheng(Department of Electronic Engineering,Northwestern Polytechnical University,Xi'an710072);Lossless Compression of Airborne Multispectral Imagery by Integer Wavelet Transforms[J];Computer Engineering and Applications;2003-36
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China Proceedings of conference Full-text Database 1 Hits
1 KUANG Jun1 LUO Jian-shu1 HUANG Zhi-xiong21 Academy of Sciences, National University of Defense and Technology, Hunan,Changsha, 410073 2 Navy Bengbu Pretty Officer College, department of base, Anhui, Bengbu,233012;Multispectral Image Lossless Compression Based on 3D-Adaptive Prediction[A];[C];2007
【Secondary Citations】
Chinese Journal Full-text Database 5 Hits
1 Zhang Xiaoling Wu Lifang Shen Lansun (Signal and Information Processing Lab., Beijing Polytechnic University, Beijing 100022, China);REMOTE SENSING IMAGE LOSSLESS COMPRESSION BASED ON PERCEPTRON[J];Journal of Electronics and Information Technology;2001-07
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5 Zhang Rong,Liu Zhengkai,Li Houqiang(Dept. of Elec. Eng. & Info. Sci. , Univ. of Sci. & Tech. of China, Hefei, 230027);Classificationbased Lossless Compression of Multispectral Data[J];JOURNAL OF IMAGE AND GRAPHICS;1998-02
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