30 October 2009 Structure information preserved optical remote sensing images super-resolution reconstruction with prior model
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Proceedings Volume 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications; 74984E (2009) https://doi.org/10.1117/12.832598
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
Abstract
The satellite imaging system is affected by optical diffraction limitation, atmosphere disturbance, CCD under-sampling noise and etc. Then the information beyond image system cut-off frequency is lost, images degrade and spatial resolution decrease. Structure information becomes undistinguishable, which is fatal to manual interpretation and adaptive target recognition. In this paper, one structure information preserved scheme is proposed. Taking into account the anisotropic diffuse property of PSF (point spread function) of in-track and cross-track direction, the sparse property of nature image and noise level, with data-driven kernel function sub-pixel estimation, the method restore high spatial resolution image from low one. Joint frequency domain and wavelet domain L1 normal regularization suppress wrinkle and noise amplified for this ill-posed inverse problem. With CBERS-2 images, this method is proved to improve spatial resolution and preserve edge and structure effectively without obverse wrinkle. With MTF curve, the spatial resolution is improved obviously with high PSNR, and the edge is preserved perfectly.
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Tao Sun, Liyu Lin, Feiyan Zhang, Yafei Tu, and Qianqing Qin "Structure information preserved optical remote sensing images super-resolution reconstruction with prior model", Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74984E (30 October 2009); doi: 10.1117/12.832598; https://doi.org/10.1117/12.832598
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