标题:LDPC-Coded Transmission System for Lossless Compressed Hyperspectral Image over Rayleigh Channel
作者:Wang, Xuye; Ma, Piming; Ma, Yanhua
通讯作者:Wang, X
作者机构:[Wang, Xuye] Shandong Univ, Sch Informat Sci & Engn, Jinan 250100, Peoples R China.; Chinese Acad Sci, Shanghai Inst Tech Phys, Shanghai 200083, Peo 更多
会议名称:International Symposium on Photoelectronic Detection and Imaging 2011 - Space Exploration Technologies and Applications
会议日期:MAY 24-26, 2011
来源:INTERNATIONAL SYMPOSIUM ON PHOTOELECTRONIC DETECTION AND IMAGING 2011: SPACE EXPLORATION TECHNOLOGIES AND APPLICATIONS
出版年:2011
卷:8196
DOI:10.1117/12.901033
关键词:hyperspectral remote sensing images; JPEG-LS; three-dimension adaptive; predictor (3-DAP); linear programming (LP) decoder; infeasible; primal-dual interior-point (IPDIP) algorithm
摘要:In this paper, a useful lossless compression method of hyperspectral remote sensing images is presented, which combines three-dimension adaptive predictor (3-DAP) and JPEG-LS algorithm. By using LDPC codes as the error-correction scheme, a compressed image transmission system with high spectral efficiency is proposed over Rayleigh fading channel. Linear programming (LP) decoding of LDPC codes is widely concerned for its maximum likelihood features and the maximum likelihood (ML) decoding for LDPC codes can be relaxed to an LP optimization problem. Therefore, the paper focus on an efficient algorithm called infeasible primal-dual interior-point (IPDIP) algorithm for solving LP problem with predictor-corrector technique. This technique decreases the amount of infeasible points and keeps them closing to the central path. Simulation results show that the lossless compression algorithm can reconstruct the hyperspectral image completely with higher compression ratio than JPEG-LS's. Moreover, the image transmission system achieves good bit error rate (BER) performance and good global convergence properties with less iteration number and time.
收录类别:CPCI-S;EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-80052234027&doi=10.1117%2f12.901033&partnerID=40&md5=48f67b7bb5c38ff515ce881ba066826e
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