Fusion Algorithm for Remote Sensing Images Based on Nonsubsampled Contourlet Transform
نویسندگان
چکیده
Considering of the human visual system and the characteristics of remote sensing images, a novel image fusion strategy is presented for panchromatic high resolution image and multispectral image in nonsubsampled contourlet (NSCT) domain. The NSCT can give the asymptotic optimal representation of the edges and contours in image by virtue of the characteristics of good multiresolution, shift-invariance and highly directionality. An adaptive intensity component addition method based on the LHS transform is introduced into NSCT domain to preserve spatial resolutions and color content simultaneously. Experimentals show that the method proposed in this paper can improve spatial resolution and keep the spectral information, simultaneously. There are improvements both in visual effects and quantitative analysis, which is compared with that of the traditional PCA method, IHS transform technique, wavelet transform weighted fusion method, the corresponding wavelet transform-based fusion method and the contourlet transform-based fusion methods, respectively.
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