Fusion of Remote Sensing Images Based on Sensor Spectral Response and Classification

Abstract:

In order to improve the fusion quality of the multispectral images and panchromatic images,a new fusion algorithm based on the generalized IHS transformation and supervised classification is proposed.Taking into account the spectral response of the multipectral and panchromatic sensors,the generalized HIS fusion can be improved in two parts:the construction of intensity component and injection method of detail information.In the proposed method,the images are classified into different parts,and then the Gaussian probability density function is used to do the weighted fusions to the images after the classification.These works reduce significantly the spectral distortion and all the multispectral bands can be fused at the same time.IKONOS images is taken as an example to evaluate the performance and efficiency of the proposed method.The result shows that the proposed algorithm can provide high spatial resolution images,as well as the spectral features based on original multispectral images.This algorithm proves to be prospective in the application for image fusion.