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Abstract
Scaling is one of the important methods that can be used to produce high-resolution multispectral images (HRMIs) from a synthetic aperture radar (SAR) image and low-resolution multispectral images (LRMIs). The purpose of this article is to present an alternative solution of scaling the LRMIs according to one SAR image. The proposed method uses à trous wavelet transform (AWT) to abstract the details from the SAR image, and ensemble empirical mode decomposition (EMD) to inject the spatial details of the approximation plane of the SAR image into the LRMIs. The intrinsic mode functions (IMFs) of the LRMIs are updated using the gain that is derived from the background and observation covariances estimated from the IMFs of the LRMIs and the approximation plane of the SAR image. Experimental results confirm that the proposed method can provide significant improvements over other tested approaches.
Acknowledgements
The authors gratefully acknowledge the support of the State Key Development Programme for Basic Research of China with grant numbers 2007CB714401-3, 2010CB428403 and 2009CB421305. This work was supported jointly by the Programme of ‘One Hundred Talented People’, Special grade of the financial support from the China postdoctoral science foundation (200902131), Key Topics in Knowledge Innovation Programme (Grant No. kzcx2-yw-326-1) of the Chinese Academy of Sciences (CAS), the National Key Project of Scientific and Technical Supporting Programmes funded by the Ministry of Science & Technology of China (No. 2006BAC08B0407) and the Project of Natural Science Fund of China (40871170).