| 基于支持向量机的遥感图像压缩方法 |
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| 引用本文： | 张丽萍,李元诚.基于支持向量机的遥感图像压缩方法[J].计算机工程与应用,2006,42(27):200-202. |
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| 作者姓名： | 张丽萍 李元诚 |
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| 作者单位： | 1. 天津大学电信学院,天津,300072
2. 华北电力大学计算机科学与技术学院,北京,102206 |
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| 摘 要： | 在分析遥感图像特征的基础上,提出了一种基于支持向量机(SVM)的遥感图像压缩方法。该方法采用小波变换把原图像分解成不同尺度的多个子带,对最低频子带系数采用DPCM直接编码,对其它频带系数采用SVM回归方法学习数据之间的相关性,并采用小部分训练样本,即支持向量来稀疏表示原始数据集,从而实现数据压缩。实验表明,与同类压缩方法相比,该算法获得的恢复图像的主客观质量有明显提高。
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| 关 键 词： | 遥感图像压缩 支持向量机 小波变换 熵编码 |
| 文章编号： | 1002-8331-（2006）27-0200-03 |
| 收稿时间： | 2006-02-01 |
| 修稿时间： | 2006-02-01 |
Remote Sensing Image Compression Based on Support Vector Machines |
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| ZHANG Li-ping,LI Yuan-cheng.Remote Sensing Image Compression Based on Support Vector Machines[J].Computer Engineering and Applications,2006,42(27):200-202. |
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| Authors: | ZHANG Li-ping LI Yuan-cheng |
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| Affiliation: | .chool of Electronic Information, Tianjin University, Tianjin 300072;2.School of Computer Science and Technology,North China Electric Power University,Beijing 102206 |
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| Abstract: | With the analysis of remote sensing image,a novel image compression algorithm that combines Support Vector Machines(SVM) regression and wavelet transform is presented in this paper.Using wavelet transform,image is decomposed into subbands of different scales.The lowest subband is coded using DPCM for its great importance,and the other coarser subbands are compressed by SVM.SVM regression can learn dependency from training data and realize compression by using fewer training point(Support Vectors) to represent the original data.Experimental results demonstrate the coding efficiency of the proposed algorithm. |
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| Keywords: | remote sensing image compression Support Vector Machines wavelet transform entropy coding |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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