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遥感技术与应用  2007, Vol. 22 Issue (6): 733-738    DOI: 10.11873/j.issn.1004-0323.2007.6.733
研究与应用     
ETM影像融合的评价分析
于君明1,2周艺1,王世新1,王丽涛1
1.中国科学院遥感应用研究所,北京100101;2.中国科学院研究生院,北京100101
Evaluation and Analysis on Image Fusion of ETM
YU Jun-ming 1,2, ZHOU Yi1 , WANG Shi-xin1, WANG Li-tao1
1. Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101,China;
2. Graduate University  of Chinese Academy  of Sciences, Beijing 100101, China
 全文: PDF(889 KB)  
摘要:

针对Landsat-7 ETM影像,对采用HIS变换、Brovey变换、相关系数加权法、SFIM变换、ISVR变换5种方法实现的ETM全色波段与ETM多光谱波段融合结果进行分析,并以均值、标准差、信息熵、平均梯度及相对偏差作为评价指标,通过试验对融合影像进行综合定量评价。结果表明,HIS变换光谱失真最大;Brovey变换在光谱保真和保持空间分辨率方面都不理想;相关系数加权法的融合结果严重地依赖权系数的取值;基于SFIM变换的融合方法,能最大限度地保留光谱特征,但空间分辨率提高不明显;而基于ISVR变换的融合方法,光谱失真小,空间分辨率高,其最大优势是考虑了多光谱影像与全色影像间的波段关系,可作为ETM影像融合的最佳方法。

关键词: Landsat-7 ETM影像融合定量评价    
Abstract:

In this paper, five image fusion algorithms including HIS transformation,Brovey transformation,Weighting fusion, SFIM ransformation and ISVR ransformation are experimented between Landsat-7 ETMPAN band and multi-spectral bands. The result f different fusion methods is evaluated qualitatively and quantitatively by comparing the spectral fidelity and the patial resolution.The study indicates that HIS transformation distorts the spectral quality most seriously. Brovey ransformation is not very nice both in retaining the spectral quality and improving the spatial resolution. The result of eighting fusion depends on the weighting seriously. Smoothing Filter-Based Intensity Modulation(SFIM) distorts the pectral quality greatly, however,it can not improve the spatial resolution. Improved Synthetic Variable Ratio(ISVR) is very fit for fusion with ETM images on the who1e.ISVR technique distorts the spectral quality slightly,as well as improves the spatial resolution obviously. The advantage is that it considers the relation of panchromatic band and ultispectral bands, which is ignored by other methods in this paper.

Key words: Landsat-7 ETM    Image fusion    Image evaluation
收稿日期: 2007-04-03 出版日期: 2010-09-03
:  TP 75  
作者简介: 于君明(1980-),女,硕士研究生,研究方向为遥感应用、地图学与地理信息系统。
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引用本文:

于君明, 周艺, 王世新, 王丽涛. ETM影像融合的评价分析[J]. 遥感技术与应用, 2007, 22(6): 733-738.

YU Jun-Ming, ZHOU Yi, WANG Shi-Xin, WANG Li-Chao. Evaluation and Analysis on Image Fusion of ETM. Remote Sensing Technology and Application, 2007, 22(6): 733-738.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2007.6.733        http://www.rsta.ac.cn/CN/Y2007/V22/I6/733

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