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Proceedings Paper

Remote sensing stereo image pair spatial resolution improvement with iterative maximum a posteriori scheme based on PSF measurement
Author(s): Tao Sun; Liyu Lin; Zhigao Yang; Tiancan Mei; Qianqing Qin
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Paper Abstract

The stereo image pair taken from different positions, theoretically the redundant information and disparity allows to reconstruction higher resolution images and reduces the aliasing artifacts. We present an improved hybrid MAP (Maximum a Posteriori) restoration algorithm for stereo image pair combined PSF (Point Spread Function) measurement and iterative registration parameters updated scheme. With the regularity parameter choice based on L-curve, this method preserves discontinuity efficiently. The reconstruction images quality lies on the accurate registration, the PSF non-bias estimation and regulation parameters choice. In this paper, an MTF (Modulation Transfer Function) measure and spatial profile methods are presented for reconstruction images quality estimation. A simulation and a real-data experiment demonstrate the performance of the algorithm.

Paper Details

Date Published: 14 November 2007
PDF: 8 pages
Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67901T (14 November 2007); doi: 10.1117/12.749348
Show Author Affiliations
Tao Sun, Wuhan Univ. (China)
Liyu Lin, Wuhan Univ. (China)
Zhigao Yang, Wuhan Univ. (China)
Tiancan Mei, Wuhan Univ. (China)
Qianqing Qin, Wuhan Univ. (China)


Published in SPIE Proceedings Vol. 6790:
MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications

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