Abstract
During the satellite’s imaging process, remote sensing images are always degraded due to a variety of factors. To overcome the power spectrum ratio’s evaluation problem of traditional Wiener filter methods of image restoration, a novel remote sensing image restoration algorithm based on adaptive Wiener filter is proposed. This algorithm still adopts Wiener filter to restore the degraded remote sensing image. The degenerate function is evaluated by point spread function of uniform linear motion, and the power spectrum ratio of the image is estimated by adaptive iteration. To verify the proposed algorithm’s on-board process performance, the method is implemented on embedded graphics processing unit (GPU). 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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Wang, Y., Mu, W., Du, X., Ma, C., Shen, X. (2020). Remote Sensing Image On-Board Restoration Based on Adaptive Wiener Filter. In: Wang, L., Wu, Y., Gong, J. (eds) Proceedings of the 6th China High Resolution Earth Observation Conference (CHREOC 2019). CHREOC 2019. Lecture Notes in Electrical Engineering, vol 657. Springer, Singapore. https://doi.org/10.1007/978-981-15-3947-3_20
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DOI: https://doi.org/10.1007/978-981-15-3947-3_20
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