Remote Sensing Image Fusion Using Wavelet Packet Transform
基于小波包变换的遥感图象融合

In order to merge information from multi-sensor adequately and to improve abilities of information analysis and feature extraction, we study wavelet packet analysis on image data and give a fusion method in pixel level by means of wavelet packet transform in this paper. Wavelet packet transform decomposes an image into low frequency band and high frequency band in different level. Besides decomposing low frequency band in a higher scale, it decomposes high frequency band in higher scale which wavelet analysis does not do. It offers a more precise way for image analysis than wavelet multi-resolution analysis. Through merging images data of different wavebands from multi-sensor to the same object and different resolution images data by applying image fusion method based on wavelet packet analysis, we get fused pictures. The method can fuse details of input images successfully, so that it display information of the each input image perfectly. Comparing with other fused images and appraising them on way of objective and subjective performance, we can draw the conclusion that using this image fusion method can get more satisfactory result than using others.