鲁棒主成份分析与IHS变换相结合的卫星图像融合

田云翔; 武江龙; 田小林

doi:10.3788/OPE.20152313.0504

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鲁棒主成份分析与IHS变换相结合的卫星图像融合

更新时间：2020-08-13

- 鲁棒主成份分析与IHS变换相结合的卫星图像融合
- Satellite image fusion using RPCA combined IHS transform
- 光学精密工程 2015年23卷第10z期页码：504-508
- 作者机构：
  
  1. 澳门科技大学, 资讯科技学院,澳门,999078
  2. 澳门科技大学月球与行星科学实验室/太空科学研究所,澳门,999078
- 作者简介：
- 基金信息：
  
  澳门科学技术发展基金资助项目(No.059/2013/A2)()
- DOI：10.3788/OPE.20152313.0504
  中图分类号： TP751
- 收稿日期：2015-03-21，
  
  修回日期：2015-04-20，
  
  纸质出版日期：2015-11-14
- 稿件说明：
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田云翔, 武江龙, 田小林. 鲁棒主成份分析与IHS变换相结合的卫星图像融合[J]. 光学精密工程, 2015,23(10z): 504-508

TIAN Yun-xiang, WU Jiang-long, TIAN Xiao-lin. Satellite image fusion using RPCA combined IHS transform[J]. Editorial Office of Optics and Precision Engineering, 2015,23(10z): 504-508
田云翔, 武江龙, 田小林. 鲁棒主成份分析与IHS变换相结合的卫星图像融合[J]. 光学精密工程, 2015,23(10z): 504-508 DOI： 10.3788/OPE.20152313.0504.

TIAN Yun-xiang, WU Jiang-long, TIAN Xiao-lin. Satellite image fusion using RPCA combined IHS transform[J]. Editorial Office of Optics and Precision Engineering, 2015,23(10z): 504-508 DOI： 10.3788/OPE.20152313.0504.

摘要

由于传统的主成份分析(PCA)和IHS卫星图像融合方法会产生光谱信息损失和特征细节失真等现象

本文提出一种基于鲁棒PCA(RPCA)和IHS变换相结合的卫星图像融合方法。首先

对多光谱图像进行IHS变换

使其从RGB空间变换到IHS空间;对其中的I分量进行RPCA变换得到低秩矩阵L0和稀疏矩阵S0

并利用直方图匹配把全色图像匹配到L0分量上。然后

用匹配后的全色图像替换L0分量进行RPCA反变换。最后

进行IHS反变换得到融合图像。实验结果显示

本文算法获得的融合图像的信息熵分别为7.5275和7.4772

显示RPCA与IHS相结合的方法可以保留更多的光谱信息和空间特征细节

优于传统的IHS和PCA融合的方法。

Abstract

The traditional Principal Component Analysis(PCA) and IHS satellite image fusion technology may have spectral losing and feature detail distortion. A fusion method using Robust PCA(RPCA) combined with IHS transform was proposed to solve the problem. First

multi-spectral images were converted from a RGB model into an IHS model. The 'I' component of IHS was converted into low-rank matrix L0 and sparse matrix S0 by RPCA transform. Then

the histogram of panchromatic images was matched with the histogram of the L0 component

and the L0 component was replaced by the panchromatic image. Finally

the fused multi-spectral image was converted back to the RGB space. Testing results show that of the information entropies preserved by RPCA combined IHS method are 7.5275 and 7.4772

which means that the method proposed in the paper gives better results than conventional methods

such as PCA and IHS transform.

关键词

Keywords

references

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