Fusion of Remote Sensing Image Base on the Pca+atrous Wavelet Transform

On the basis that the PCA transformation and additive wavelet transformation have their own advantages and disadvantages ——higher spatial resolution can be acquired from the PCA transformation; however, more serious distortion of spectral characteristics can happen as well. While, the àtrous wavelet transformation is able to preserve spatial information; however, the result is lack of high spatial resolution. A new technique, based on additive wavelet decomposition and PCA transformation was developed for the merging and data fusion of such images in this paper. Firstly we must get a fusion image by using the PCA transformation to merge the multispectral image and the high-resolution panchromatic image. Then we get the new principle components for the new multispecral image, while greatly parts of data information is included in the first component of the fused image. And then we apply the atrous wavelet merger to merge the multiresolution image and the first component of the fused image by PCA merger which substituted of the high-resolution panchromatic image. The new method is capable of preserving its spectral content while enhancing the spatial quality of the multispectral image to a greater extent.