Remote Sensing Image Fusion Based on Contourlet Transform
CHEN Mi~ 1,2 ,LI De-ren~2,QIN Qian-qing~2 ,JIA Yong-hong~3~1 (Department of Educational Technology,Capital Normal University,Beijing 100037,China)~2 (State Key Laboratory of Information Engineering in Surveying ,Mapping and Remote Sensing,Wuhan University,Wuhan 430079,China)~3 (College of Remote Sensing and Information Engineering, Wuhan University,Wuhan 430079,China)
Image fusion is a very important research field in remote sensing. Recently developed contourlet transform can offer a much richer set of directions and shapes, and thus it is more effective than wavelet in capturing smooth contours and geometric structures in images. This paper proposes a novel method of fusing panchromatic and multispectral remote sensing images based on contourlet transform. The images are firstly decomposed by contourlet transform, then combining wavelet, the fusion procedure is choosing different rules on particular sets of contourlet coefficients which correspond to high and low frequency bands. The experiment results show that the proposed method can effectively preserve spectral information and improve spatial resolution of multispectral images.