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Proceedings Paper

Accurate estimation of motion blur parameters in noisy remote sensing image
Author(s): Xueyan Shi; Lin Wang; Xiaopeng Shao; Huilin Wang; Zhong Tao
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Paper Abstract

The relative motion between remote sensing satellite sensor and objects is one of the most common reasons for remote sensing image degradation. It seriously weakens image data interpretation and information extraction. In practice, point spread function (PSF) should be estimated firstly for image restoration. Identifying motion blur direction and length accurately is very crucial for PSF and restoring image with precision. In general, the regular light-and-dark stripes in the spectrum can be employed to obtain the parameters by using Radon transform. However, serious noise existing in actual remote sensing images often causes the stripes unobvious. The parameters would be difficult to calculate and the error of the result relatively big. In this paper, an improved motion blur parameter identification method to noisy remote sensing image is proposed to solve this problem. The spectrum characteristic of noisy remote sensing image is analyzed firstly. An interactive image segmentation method based on graph theory called GrabCut is adopted to effectively extract the edge of the light center in the spectrum. Motion blur direction is estimated by applying Radon transform on the segmentation result. In order to reduce random error, a method based on whole column statistics is used during calculating blur length. Finally, Lucy-Richardson algorithm is applied to restore the remote sensing images of the moon after estimating blur parameters. The experimental results verify the effectiveness and robustness of our algorithm.

Paper Details

Date Published: 21 May 2015
PDF: 10 pages
Proc. SPIE 9501, Satellite Data Compression, Communications, and Processing XI, 95010X (21 May 2015); doi: 10.1117/12.2176893
Show Author Affiliations
Xueyan Shi, Xidian Univ. (China)
Lin Wang, Xidian Univ. (China)
Xiaopeng Shao, Xidian Univ. (China)
Huilin Wang, Xi'an Institute of Applied Optics North Electro-optics Group Co., Ltd. (China)
Zhong Tao, Xi’an Institute of Applied Optics North Electro-optics Group Co., Ltd. (China)

Published in SPIE Proceedings Vol. 9501:
Satellite Data Compression, Communications, and Processing XI
Bormin Huang; Chein-I Chang; Chulhee Lee; Yunsong Li; Qian Du, Editor(s)

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