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Proceedings Paper

MTF compensation method utilizing the curved edge for high-resolution satellite image recovery
Author(s): Qiuhua Luo; Lin Wang; Hong Yang; Shaohui Zhang; Xiaopeng Shao
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Paper Abstract

The low resolved satellite images caused by serious degradation in remote sensing weaken its utilities in practice. An effective algorithm of high resolution remote sensing image reconstruction is proposed to recover the degraded images using a precise estimated modulated transfer function (MTF) of the imaging system from a curve knife edge. The curve edge is chosen automatically and robustly among many candidate edges, which can provide a higher precision in comparison to straight edge. To suppress the artifacts and noise, the total variation (TV) method is applied as well. The experiments show this algorithm is suitable to recover a high-resolved image with a high signal-to-noise ratio (SNR).

Paper Details

Date Published: 22 May 2014
PDF: 10 pages
Proc. SPIE 9124, Satellite Data Compression, Communications, and Processing X, 91240D (22 May 2014); doi: 10.1117/12.2051573
Show Author Affiliations
Qiuhua Luo, Xidian Univ. (China)
Lin Wang, Xidian Univ. (China)
Hong Yang, Xidian Univ. (China)
Shaohui Zhang, Xidian Univ. (China)
Xiaopeng Shao, Xidian Univ. (China)

Published in SPIE Proceedings Vol. 9124:
Satellite Data Compression, Communications, and Processing X
Bormin Huang; Chein-I Chang; José Fco. López, Editor(s)

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