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《Journal of University of Electronic Science and Technology of China》 2017-01
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Compression for Satellite Multispectral Images Based on Band to Band Registration Pre-Processing and Twice-Iterated Rate Control

WANG Ke-yan;SONG Juan;LI Yun-song;GUO Jie;State Key Lab of Integrated Service Networks,Xidian University;School of Software,Xidian University;  
Based on the framework of inter-band linear prediction and JPEG-LS, a compression scheme for unregistered satellite multispectral images is proposed. First of all, an integer-pixel band to band registration pre-processing method based on band reordering is presented according to the compression scheme to improve the poor spectral correlation and the compression performance of the multispectral images. Secondly, a rate control method based on twice-iterated adjustment is proposed to guarantee the output rate below the target rate strictly while approaching the target rate, so as to meet the transmission requirement better. Experimental results show that our proposed scheme is compatible with lossless and lossy compression, and outperforms other methods with simple implementation.
【Fund】: 国家自然科学基金(61301291 61222101 61401324);; 中央高校基本科研业务费专项资金(K5051301015);; 高等学校创新引智基地项目(B08038);; 陕西省重点科技创新团队计划(2013KCT-02)
【CateGory Index】: TP391.41
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5 Blake Temple Department of Mathematics, University of California, Davis, CA 95616, USA Robin Young Department of Mathematics and Statistics, University of Massachusetts, Amherst, MA 01003, USA;LINEAR WAVES THAT EXPRESS THE SIMPLEST POSSIBLE PERIODIC STRUCTURE OF THE COMPRESSIBLE EULER EQUATIONS[J];Acta Mathematica Scientia;2009-06
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