A New Algorithm for Fusing Very High Resolution Remote Sensing Images
Li Xu①②; He Ming-yi①; Michel Roux②; Wei Bao-guo①
①School of Electronics and Information, Northwestern Polytechnical University, Shaanxi Key Laboratory of Information Acquisition and Processing, Xi’an 710072, China; ②Department of Signal and Image Processing, ParisTech-TELECOM, Paris 75013, France
Abstract：In this paper, a new image fusion approach is presented based on correspondence analysis to sharpen the multispectral images with the panchromatic image. First, the original multispectral images are transformed into component space by correspondence analysis. Then, the panchromatic spatial detail information extracted by the redundant wavelet is injected into the component space. Finally, the fused results are obtained through the inverse transformation. Different IKONOS and QuickBird images have been fused with this new approach. Visual and statistical analyses prove that the proposed method does significantly overcome the color distortion and improve the fusion quality compare to some existing techniques.
李 旭; 何明一; Michel Roux; 卫保国. 一种超高分辨率遥感图像融合新算法[J]. 电子与信息学报, 2009, 31(12): 2886-2891 .
Li Xu①②; He Ming-yi①; Michel Roux②; Wei Bao-guo①. A New Algorithm for Fusing Very High Resolution Remote Sensing Images. , 2009, 31(12): 2886-2891 .
2009, Vol. 31 
