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A method for remote sensing image restoration using gyroscope sensor
Author(s): Wenshuang Wu; Huajun Feng; Lirong He; Zhihai Xu; Qi Li; Yueting Chen; Chenwei Yang; Zhenzhen Zheng
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Paper Abstract

Fast image restoration for blurred remote sensing image is one of the focus problem in optical image processing. We present a method for remote sensing image restoration using a gyroscope sensor mounted with the camera. With motion track of the camera obtained from gyroscope sensor, we get a better PSF(Point Spread Function) estimation by calibrating the camera. Then we use the TV regularization to solve this non-blind deconvolution which runs faster than blind deconvolution. In experiments, we established a platform to simulate the vibration of satellite and get the synchronized gyroscope data in the exposure time, then we compare our restoration results with ground truth. Our experiments show that, the method has a good performance for blurred image caused by vibration of image system.

Paper Details

Date Published: 24 October 2017
PDF: 6 pages
Proc. SPIE 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104621K (24 October 2017); doi: 10.1117/12.2283540
Show Author Affiliations
Wenshuang Wu, Zhejiang Univ. (China)
Huajun Feng, Zhejiang Univ. (China)
Lirong He, Zhejiang Univ. (China)
Zhihai Xu, Zhejiang Univ. (China)
Qi Li, Zhejiang Univ. (China)
Yueting Chen, Zhejiang Univ. (China)
Chenwei Yang, Zhejiang Univ. (China)
Zhenzhen Zheng, Shanghai Engineering Ctr. for Microsatellites (China)


Published in SPIE Proceedings Vol. 10462:
AOPC 2017: Optical Sensing and Imaging Technology and Applications
Yadong Jiang; Haimei Gong; Weibiao Chen; Jin Li, Editor(s)

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