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首页> 外文会议>International symposium on photoelectronic detection and imaging;ISPDI 2011 >LDPC-Coded Transmission System for Lossless Compressed Hyperspectral Image over Rayleigh Channel
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LDPC-Coded Transmission System for Lossless Compressed Hyperspectral Image over Rayleigh Channel

机译：LDPC编码的瑞利信道上无损压缩高光谱图像传输系统

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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.
机译：本文提出了一种有用的高光谱遥感图像无损压缩方法，该方法结合了三维自适应预测器（3-DAP）和JPEG-LS算法。通过使用LDPC码作为纠错方案，提出了一种在瑞利衰落信道上具有高频谱效率的压缩图像传输系统。 LDPC码的线性编程（LP）解码因其最大似然特性而受到广泛关注，并且LDPC码的最大似然（ML）解码可以放宽到LP优化问题。因此，本文重点研究一种有效的算法，称为不可行的原始对偶内点（IPDIP）算法，用于通过预测器-校正器技术解决LP问题。此技术减少了不可行点的数量，并使它们靠近中心路径。仿真结果表明，无损压缩算法能够以比JPEG-LS更高的压缩率完全重建高光谱图像。此外，图像传输系统以较少的迭代次数和时间实现了良好的误码率（BER）性能和良好的全局收敛性。

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