24 October 2017 A method for remote sensing image restoration using gyroscope sensor
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Proceedings Volume 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications; 104621K (2017) https://doi.org/10.1117/12.2283540
Event: Applied Optics and Photonics China (AOPC2017), 2017, Beijing, China
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.
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Wenshuang Wu, Huajun Feng, Lirong He, Zhihai Xu, Qi Li, Yueting Chen, Chenwei Yang, Zhenzhen Zheng, "A method for remote sensing image restoration using gyroscope sensor", Proc. SPIE 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104621K (24 October 2017); doi: 10.1117/12.2283540; https://doi.org/10.1117/12.2283540
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