Research On Remote Sensing Image Fusion Algorithm Based On Wavelet Transform And HIS Transform

The basic theory of remote sensing image fusion is introduced.The process of image fusion preprocessing(including geometric correction and registration)is discussed.Several common fusion algorithms based on HIS transform and wavelet transform are studied.The image fusion algorithm based on traditional wavelet transform has high complexity and large memory requirement,and HIS transform in the image fusion in the presence of spectral distortion,combined with the advantages of HIS transform and wavelet transform,a remote sensing image fusion algorithm based on HIS and wavelet transform are proposed.The new color components and the luminance components of the multi spectral image of the HIS transform are used to carry on the wavelet fusion.Finally,the reasonable construction of the two algorithms will be combined with the theory of MATLAB simulation experiment,and the results of the traditional method of quality evaluation of the comparison,the simulation results to complete the data to test its feasibility.In the fusion algorithm,four regional features are summarized and introduced into the traditional HIS transform fusion and wavelet transform fusion method.In the original HIS,the wavelet transform is added to a part of the region variance algorithm.With the help of the existing theoretical documents to complete the quality evaluation of fusion images,combined with the transformation of the various conditions of the algorithm to deal with the actual needs.In the simulation experiment,the traditional method of replacing the I component of the multi spectral image with the panchromatic image is changed.Not only is the split between the data re-restructuring,but also highlights the preferred message to bad.The simulation results show that the combination of wavelet transform and HIS transform image fusion algorithm to achieve the quality of image fusion is higher than the general algorithm for the purpose of the fusion image.For the image data of the observed object,the irrelevant amount is removed,the credibility is emphasized,the deviation is reduced,and the uncertain part can be determined.The remote sensing image fusion technology is used to enhance the spatial resolution of the multispectral image,and the multi spectral features of the image are preserved.