Abstract
During image acquisition, remote sensing images are subject to a variety of degradations. Wiener filter is widely used method for remote sensing image restoration. To overcome the power spectrum ratio's evaluation problem of traditional Wiener filter methods, a remote sensing image restoration algorithm based on Wiener filter and RBF (Radial Basis Function) neural network is proposed. The algorithm adopts Wiener filter to recover the degraded remote sensing image. And the power spectrum ratio of the image is calculated by the RBF neural network. To reduce the calculating time, this paper proposes a matrix factorization algorithm to realize matrix's parallel arithmetic. Experimentations demonstrate that the proposed algorithm could acquire satisfactory remote sensing image recovering results. And the processing time could be controlled in a relatively short time
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