A New Technique for Multispectral and Panchromatic Image Fusion

• DOI: 10.1016/j.proeng.2011.11.2623
• Publication Date: 2011-12-30T17:03:35Z
• Authors: Qifan Wang; Zhenhong Jia; Xizhong Qin; Jie Yang; Yingjie Hu
• Keywords: relative entropy; nonsubsampled contourlet transform (NSCT); 0211 other engineering and technologies; 0202 electrical engineering, electronic engineering, information engineering; Image fusion; 02 engineering and technology; fourth-order correlation coefficient (FOCC); multispectral remote sensing; Engineering(all)

AbstractIn this paper, a technique is presented for the fusion of Panchromatic (PAN) and low spatial resolution multispectral (MS) images to get high spatial resolution of the latter. In this technique, we apply PCA transformation to the MS image to obtain the principal component (PC) images. A NSCT transformation to PAN and each PC images for N level of decomposition. We use FOCC as criterion to select PC. And then, we use the relative entropy as criterion to reconstruct high-frequency detailed images. Finally, we apply inverse NSCT to selected PC's low-frequency approximate image and reconstructed high- frequency detailed images to obtain high spatial resolution MS image. The experimental results obtained by applying the proposed image fusion method indicate some improvements in the fusion performance.