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

Abstract:

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.

Key words:remote sensing;hyperspectral remote sensing;band combination;false color synthesis