@inproceedings{13e7f3b12f9b4fdb889f9eff2cdd9951,
title = "Accurate identification of blur parameters on joint blurred image of remote sensing",
abstract = "Aerial images captured using time delay and integration (TDI) charge-coupled devices (CCDs) could be blurred by three types of motion: forward image motion, turbulence disturbance and high frequency vibration. This work proposes a method to separately construct the three deterministic models by discerning or calculating the parameters from a single image blurred by all the three ones. Based on these models, we catch and separate the features existing in the power spectrum diagram, and select the methods with the best identification accuracy to the parameters. The results show the approach we mention can promise the accuracy of the determined parameters, which is helpful to improve the result of blind restoration algorithm.",
keywords = "Atmospheric turbulence, Blur parameter, Forward motion, High frequency vibration, Jointly blurred",
author = "Jiong Liang and Xu, {Ting Fa} and Shi, {Ming Zhu} and Liang Feng and Ni, {Guo Qiang}",
year = "2013",
doi = "10.1117/12.2035686",
language = "English",
isbn = "9780819499639",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "2013 International Conference on Optical Instruments and Technology",
note = "2013 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology, OIT 2013 ; Conference date: 17-11-2013 Through 19-11-2013",
}