Study On Algorithms Of Pixel-Level-Based Multi-Resolution Remote Sensing Image Fusion

The purpose of the image fusion technique is how to use different images from many kinds of sensors, through some algorithm, to get a more accurate and abundant image ,which includes more information, then we can achieve more complete and more reliable description and decision. The image fusion technique is used very extensively in military and civil application, and now image fusion is a very popular research filed.From the abstract level of the data which is to be dealed with, the image fusion technique can be divided intoto pixel level, feature level and decision level. This paper is studies the image fusion technique based on pixel level, and the SAR/Optical image fusion multi-focus image fusion and multi- spectrum/high resolution image fusion technique are studied deeply. Also some improved algorithm were put forward and some better results were obtained. This paper mainly makes some studies and improves in some aspects as follows:· Discussing the characteristics of SAR image and the necessary of the SAR/Optical image fusion, pointing out the problems in the algorithm based on Gaussian-Laplacian pyramid and giving out the improved algorithm and experimental fusion image.· Narrating wavelet transform, Mallat algorithm and their implication in image fusion, and also introducing the theory of steerable filters in detail.· By combining wavelet transform with steerable filters, a image fusion algorithm based on the measure of area orientations energy was proposed. On the one hand, the algorithm was applied to the multi-focus image fusion, from the scale parameter, the choose of the basis of wavelet and the rules of fusion, the fusion results were discussed and evaluated, good fusion results were acquired; on the other hand, the algorithm also was applied to the multi-spectrum/high resolution image fusion, some similar analysis was carried through, and also good results were got, the algorithm was proved to be very effective.