Remotely-sensed image fusion based on generalized IHS transformation and MAP analysis

doi:10.11834/jrs.20100614

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Remotely-sensed image fusion based on generalized IHS transformation and MAP analysis
Vol. 14, Issue 6, Pages: 1259-1272(2010)
Published：2010
DOI： 10.11834/jrs.20100614
稿件说明：

移动端阅览

[1]石爱业,徐立中,汤敏.联合IHS变换和MAP估计的遥感图像融合[J].遥感学报,2010,14(06):1259-1272. DOI： 10.11834/jrs.20100614.

Remotely-sensed image fusion based on generalized IHS transformation and MAP analysis[J]. Journal of Remote Sensing, 2010, 14(6): 1259-1272. DOI： 10.11834/jrs.20100614.

摘要

为了提高多光谱图像和全色图像的融合质量

提出一种基于推广的IHS（Generalized Intensity-Hue-Saturation

GIHS）变换与最大后验概率MAP（Maximuma Posteriori）相结合的遥感图像融合算法。该算法首先经过GIHS变换

由多光谱图像得到强度分量;其次针对强度分量和全色图像

通过MAP构建高分辨率图像的成像模型

采用最速下降优化算法得到富含光谱信息的高分辨率全色图像;进而依据GIHS变换得到融合图像。实验中分别以IKONOS卫星、Quickbird卫星的多光谱图像和全色图像为例

进行融合算法验证

并与GIHS融合算法、传统的小波变换融合算法、小波变换结合IHS变换的融合算法等进行比较分析

实验表明

新的融合方法具有更好的融合效果。

Abstract

This paper proposes a fusion method by combining generalized intensity-hue-saturation（GIHS） transformation and maximum a posteriori（MAP） analysis in order to improve the fusion quality of multispectral（MS） and panchromatic（Pan） images from a new type of remote sensing platforms.The intensity component of the MS images is first obtained by GIHS transformation.Then a new Pan image is acquired by combing the intensity component and Pan image using a steepest-descent optimization algorithm based on the MAP framework.Thus

the fused images are obtained by the GIHS method.Experiments are conducted using the IKONOS MS and Pan images

and Quickbird MS and Pan images.The proposed method is compared with the GIHS fusion method

the wavelet transform（WT） fusion method

and the combined WT-GIHS fusion method.The experimental results show that the proposed method can achieve better fusion result than exiting fusion methods.