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Proceedings Paper

High-resolution satellite image recovery by modulation transfer function (MTF) compensation method using phase congruency estimation
Author(s): Xiaopeng Shao; Hong Yang; Shaohui Zhang; Zhenhua Jin; Juan Du
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Paper Abstract

Satellite imagery always has low-resolution causing poor application in practice because the serious degradation in imaging is resulted in many factors such as atmospheric turbulence, cloud, and aberration of optical system. To reconstruct the degraded remote sensing images with a high quality, we designed an algorithm to estimate the system modulation transfer function (MTF) accurately. Phase congruency is employed to detect the edges and corners of the image first, then the significant edges, which are utilized to estimate the edge spread function (ESF) using inclined edge method, are picked up from above features through a certain line detection measurement. An image restoration algorithm based on total variation (TV) is introduced to deconvolute the degraded image with the estimated MTF which is derived from the ESF. The experiments show that this method is adaptive and efficient to recover the remote sensing images taken from a Chinese Satellite. The restored images with a higher resolution and higher signal-to-noise ratio (SNR) will improve the applications greatly.

Paper Details

Date Published: 24 September 2013
PDF: 9 pages
Proc. SPIE 8871, Satellite Data Compression, Communications, and Processing IX, 88710O (24 September 2013); doi: 10.1117/12.2022831
Show Author Affiliations
Xiaopeng Shao, Xidian Univ. (China)
Hong Yang, Xidian Univ. (China)
Shaohui Zhang, Xidian Univ. (China)
Zhenhua Jin, Xidian Univ. (China)
Juan Du, Xidian Univ. (China)

Published in SPIE Proceedings Vol. 8871:
Satellite Data Compression, Communications, and Processing IX
Bormin Huang; Antonio J. Plaza; Chein-I Chang, Editor(s)

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