A Compression Algorithm of Hyperspectral Remote Sensing Image Based on 3-D Wavelet-Fractal Coder  

作　　者：邹毅 潘伟 敖露 

机构地区：[1]Department of Automatization,Xiamen University [2]Department of Cognitive Science,Fujian Key Laboratory of the Brain-like Intelligent Systems,Xiamen University

出　　处：《Journal of Donghua University(English Edition)》2010年第2期229-232,共4页东华大学学报（英文版）

基　　金：National Natural Science Foundation of China (No.60975084)

摘　　要：In this paper, the 3-D Wavelet-Fractal coder was used to compress the hyperspectral remote sensing image, which is a combination of 3-D improved set partitioning in hierarchical trees （SPIHT） coding and 3-D fractal coding. Hyperspectral image date cube was first translated by 3-D wavelet and the 3-D fractal compression ceding was applied to lowest frequency subband. The remaining coefficients of higher frequency sub-bands were encoding by 3-D improved SPIHT. We used the block set instead of the hierarchical trees to enhance SPIHT＇s flexibility. The classical eight kinds of affme transformations in 2-D fractal image compression were generalized to nineteen for the 3-D fractal image compression. The new compression method had been tested on MATLAB. The experiment results indicate that we can gain high compression ratios and the information loss is acceptable.In this paper,the 3-D Wavelet-Fractal coder was used to compress the hyperspectral remote sensing image,which is a combination of 3-D improved set partitioning in hierarchical trees (SPIHT) coding and 3-D fractal coding. Hyperspectral image date cube was first translated by 3-D wavelet and the 3-D fractal compression coding was applied to lowest frequency subband. The remaining coefficients of higher frequency sub-bands were encoding by 3-D improved SPIHT. We used the block set instead of the hierarchical trees to enhance SPIHT's flexibility. The classical eight kinds of affine transformations in 2-D fractal image compression were generalized to nineteen for the 3-D fractal image compression. The new compression method had been tested on MATLAB. The experiment results indicate that we can gain high compression ratios and the information loss is acceptable.

关 键 词：image compression three dimensional improved SPIHT fractal compression coding HYPERSPECTRAL 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] TP751[自动化与计算机技术—计算机科学与技术]