城区高光谱遥感数据假彩色波段组合研究

高光谱数据具有波段数目多、波段宽度窄、数据量庞大等特点，如何根据具体的应用目的，在众多的波段中选取最佳波段组合用于假彩色合成，对于有效进行高光谱数据处理、分析及信息提取至关重要。以面阵推帚式机载超光谱成像仪(PHI)获得的上海市黄浦江附近复杂地表高光谱图像数据为例，分析了图像所包含的信息量、各通道之间的相关性以及影像上各地物的光谱特征，选出了那些包含信息量大、相关性小、光谱差异大的波段子集，然后再结合协方差矩阵特征值法、最佳指数法和波段指数法波段组合方法选出了高光谱遥感图像的最佳波段组合。

Band Combination Research of City Region Hyperspectral Remote Sensing Data in False Color Synthesis

In comparison with multispectral remote sensing,the characteristics of hyperspectral remote sening data are more channels,narrower bandwidth and larger amount of data.It is very important to make optimal band combination in numerous bands for false color synthesis according to specific application purpose for further management,analysis and information extraction of hyperspectral remote sensing dada.Taking the complex ground surface hyperspectral image near the Huangpujiang in Shanghai from an airborne Pushbroom Hyperspectral Imager(PHI)as an example,the information content,the correlation of different channels and spectral character of ground objects are analysed to extract the band subsets with vast scale information content,smaller correlation,larger spectral difference,and then the optimal band combination of hyperspectral image is determined by using methods of covariance matrix,optimal index and band index.