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《Journal of Southwest China Normal University(Natural Science Edition)》 2019-02
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Remote Sensing Image Fusion Based on Nonsubsampled Contourlet Transform and Sharpness Constraint

LI Jian-jun;ZHANG Fu-quan;Department of Basic Course,Northern Beijing Vocational Education College;Institute of Software,Beijing University of Technology;  
Most of the current fusion algorithms of remote sensing image fusion mainly rely on the ratio method to select the high frequency subbands of the panchromatic or multispectral images as high frequency fusion coefficients.Because the method ignores the information contained in the other high frequency coefficients,it is easy to lead to the inadequacy of the fusion image and the spectral distortion.For this reason,a remote sensing image fusion algorithm based on the coupled nonsubsampled contourlet transform and the acuity constraint model has been proposed in this paper.The I,H,and Scomponents of the multispectral image are obtained by the brightness to hue saturation(IHS)transformation.The I component and the panchromatic image of the multispectral image are decomposed by non subsampled contourlet transform to obtain the low frequency subband and the high frequency subband of the image.The sharpness constraint model is constructed by the difference between pixel values in the neighborhood of pixels,so as to complete the fusion of low frequency sub-band.Based on the high frequency subband features of I components in multispectral images,the high-frequency subband fusion model is constructed by combining the high frequency subband features of the panchromatic image to complete the fusion of high frequency subbands.The fusion high frequency subband and low frequency subband are replaced by the non subsampled contourlet inverter to obtain the brightness component I of the fused image,and the T and H and S components are inverting IHS to obtain the fused image.The simulation experiment shows that compared with the current remote sensing image fusion method,the fusion image of the proposed method can retain more spectral and edge and other image details,so that the remote sensing image has a better fusion effect.
【Fund】: 北京市科技支撑项目(BJ20159923)
【CateGory Index】: TP751
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