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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。 更多还原

【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 ... 更多还原