A HT-based Algorithm of Multi-Resolution Image Fusion
LU Lim ing, WANG Run sheng (ATR State Key Lab.,National University of Defense Technology,Changsha 410073, China)
The notion of image fusion was conceived about 1970s and fusion algorithms pay much attention to information optimization. It has been widely used in image processing of remote sensing because of its superiority over the traditional methods. After having analyzed algorithms of remote sensing image fusion using multi\|resolution analysis(MRA), this paper expatiates on relations between Gaussian\|Laplacian pyramids and Hadamard transform. A new algorithm based on predicting HT coefficients is developed and the experiments are performed multi\|resolution images. The studies show that the algorithm hight MRA/HT has good performance in preservation of the spectral fidelity as well as in resolution enhancement, especially acting on the bands with different spectrum.\; Most of the fusion algorithms of remote sensing image are based on MRA method for the purpose of improving resolution of multispectral images. The fashionable algorithms are divided into two typical classes: Gaussian\|Laplacian pyramids and wavelet\|based algorithms. In course of implementation, we found their common limitations that the algorithms could not work well for two images without spectral superposition. MRA/HT put forward in the paper solved the problem partially. We use panchromatic band image of SPOT to sharpen three multispectral bands in the experiments. As the result, MRA/HT promises to accurately maintain the spectral characteristics of the original low\|resolution image XS3 which has little spectral overlap with panchromatic band image.
【CateGory Index】： TP751