摘要
针对IHS变换在QuickBird数据融合中存在的光谱扭曲问题,提出了利用Visual-Pan波段和线性加权匹配两种方法进行改进,并给出了Visual-Pan波段方法中系数α的最佳取值范围,以及线性加权匹配融合图像的空间特征与光谱特征达到最佳效果时Pan权值(wPan)和I权值(wI)的最佳取值。结果表明,对于Visual-Pan方法而言,当0.2<α<0.25时,可以获得非常好的融合效果;而对于线形加权匹配方法而言,当wpan=3/4、wI=1/4时,融合图像的空间特征与光谱特征可以达到最佳效果。
Aimed at solve the spectrum distortion problem of the IHS method that exists in the QuickBird data fusion, this paper proposes the utilization of both the visual - pan band method and the linear weighted matching method for its improvement, and provides the best value range of the coefficient α in the Visual - Pan band method as well as the best weighted values of Pan and I when the spatial characteristics and the spectral characteristics of the linear weighted matching fusion image achieve the best result. Tests show that when the value of α is between 0.2 and 0.25, satisfying fusion effect can be obtained, and when the weighted values of Pan and I are 3/4 and 1/4, the spatial characteristics and the spectral characteristics of fusion image can achieve the best result.
出处
《国土资源遥感》
CSCD
2007年第3期36-38,I0003,共4页
Remote Sensing for Land & Resources
基金
国家高技术研究发展计划(863计划)项目支持(2006AA10Z271)
