COMPARATIVE STUDY ON THE TRANSFORMATION EFFECTS OF FUSION ALGORITHM BASED ON MULTISOURCE REMOTE SENSING DATA

With the mature development of multisource remote sensing image fusion technology, how to improve the efficiency and quality of high resolution remote sensing data has become a bottleneck problem for its application effect. Aiming at the problem of low spectral resolution of QucikBird-2 high resolution remote sensing data, combining with ASTER multispectral remote sensing data, three fusion methods, namely PCA fusion, wavelet PCA fusion and IHS fusion based on wavelet are introduced to realize the fusion of multispectral and high resolution images and obtain multispectral high resolution imagery, which enhances the spatial resolution of image and at the same time retains the multispectral information as much as possible. Finally, qualitative and quantitative evaluation is conducted on the results of three fusion methods.