The Fusion of Remote Sensing Images Based on Lifting Wavelet Transformation

Wei Zhang, Qin Huang, Zhenkun Wang

Abstract


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The fusion of remote sensing images has become one of the new hotspots in recent years. It can not only improve spatial resolution effectively, but can keep the integrity of the multi-spectral image. In this paper, we take the Hangzhou area as an example and put forward a new image fusion based on lifting wavelet transformation, and carry out the qualitative and quantitative comparison to the spatial characteristics and spectral characteristics with traditional fusion methods, such as IHS transform, PCA transform and Brovey transform. The results show that by lifting scheme wavelet transformation the characteristics and information of the fusion image have been preserved greatly, and the spatial quality of the original image has been better improved. Furthermore, this method is much simpler and easier.


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Computer and Information Science   ISSN 1913-8989 (Print)   ISSN 1913-8997 (Online)
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