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《Journal of Astronautics》 2007-02
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Data Fusion of Multisensor Remote Sensing Images using Region Based Contourlet Contrast

NI Wei,GUO Bao-long,YANG Liu (Institute of Intelligent Control and Image Engineering,Xidian University,Xi'an 710071,China)  
Remote sensing image fusion aims at processing and synthesizing information provided by various sensors.In this paper,the application of the contourlet transform in image fusion was discussed.Contourlet is a novel multiscale geometric analysis tool;it provides many advantages in comparison with conventional multiresolution analysis.The contourlet contrast measurement was first developed,which is proved to be more suitable for image processing tasks.Then a novel image fusion algorithm using region based contourlet contrast was proposed.The fusion rules also adopted the local energy and the "weighted averaging" method,which can preserve more details in source images and further improve the subjective quality of fused image.Experimental results show that comparing with traditional image fusion algorithms,the proposed approach can provide more satisfactory fusion outcome.
【Fund】: 国家自然科学基金(60572152);; 陕西省自然科学基金(2005F26)
【CateGory Index】: TP751
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