黄登山,杨敏华,姚学恒,陈杰

• 1:中南大学信息物理工程学院

摘要(Abstract)：

应用GHIS(Generalized-Hue-Intensity-Saturation)变换融合多光谱影像与全色影像中存在的光谱扭曲问题,主要是由于变换后的I分量与全色影像之间差异过大。为此,本文提出了一种基于统计关系定权的I分量计算方法,从数据整体角度考虑,在不能获取I分量与多光谱影像准确函数关系情况下,通过各波段影像与全色影像的相关系数定权计算I分量,使新的I分量与全色影像尽可能接近,然后通过GHIS变换完成融合。试验选取了两组不同传感器卫星影像进行验证,经视觉评价与统计分析,均表明本文方法相对于以往HIS改进方法,能够更好地保持原多光谱影像的特性,对全色影像的空间细节也能够较好集成,但与理想的真实多光谱影像相比,其光谱特征仍有一定的差距。

关键词(KeyWords)： 遥感;影像融合;HIS变换;光谱特性;相关系数

Abstract:

Keywords:

基金项目(Foundation):

作者(Author): 黄登山,杨敏华,姚学恒,陈杰

DOI: 10.16251/j.cnki.1009-2307.2011.02.057

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