摘要
近年来,遥感影像数据融合已成为学术界研究的新热点.作为在各个领域应用日益广泛的法国SPOT-5遥感卫星影像,其全色波段空间分辨率高,多光谱波段光谱信息丰富,为了既保留丰富的光谱信息又能提高空间分辨率,本文在对IHS变换、主成分变换、Brovey变换融合3种传统像素级融合方法分析、归纳与算法实现研究的基础上,对SPOT-5全色波段与多光谱波段进行了图像融合实验,并从光谱特征与空间纹理特征两个方面对融合效果进行定性与定量评价.分析结果表明,Brovey变换融合法光谱退化最小,同时也最大程度地保持了高几何分辨率全色波段的空间信息.
In recent years, the merging of remote sensing image has become the new hotspot. SPOT- 5, the remote sensing image of France, has been widely applied in each domain. Its panchromatic image has high space resolving power and its multi- spectral image has abundant spectrum information. In order to improve the multi- spectral image＇s space resolving power, we firstly analyze the principles and methods of three traditional piexl mergings, which are IHS transformation, principal components transformation and Brovey transformation. Then three traditional pixel mergings are used in SPOT- 5 PAN and multi - spectral images. The fused images are evaluated from the spectral quality and from the spatial quality. Analyses show that Brovey transformation has the best quality both from the spectral quality and the spatial quality.
出处
《山东师范大学学报（自然科学版）》
CAS
2007年第1期95-98,共4页
Journal of Shandong Normal University(Natural Science)
基金
国家自然科学基金资助项目(40271001)
