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24 October 2017 Influence of image sequence distortion on infrared target detection
Juan Du, Hui-xin Zhou, Sheng-hui Rong, Dong Zhao, Han-lin Qin
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Proceedings Volume 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications; 104625F (2017) https://doi.org/10.1117/12.2285823
Event: Applied Optics and Photonics China (AOPC2017), 2017, Beijing, China
Abstract
Because of the platform motion and system internal asymmetric structure, Satellite-borne infrared imaging system will generate image geometric distortions such as translation, rotation, distortion and scaling, which make the subsequent target detection result not accurate. Therefore, we propose an image distortion method and deeply analyze the influence of infrared image distortion on the SNR of infrared weak small targets, detection probability and false alarm probability. The simulation results show that the image distortion directly affects the subsequent performance of the infrared target detection and tracking algorithm by changing target geometric imaging and signal to noise ratio. The research result in this paper would have great application value in the satellite-borne infrared alarm/warning system.
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Juan Du, Hui-xin Zhou, Sheng-hui Rong, Dong Zhao, and Han-lin Qin "Influence of image sequence distortion on infrared target detection", Proc. SPIE 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104625F (24 October 2017); https://doi.org/10.1117/12.2285823
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KEYWORDS
Distortion
Computer simulations
Infrared imaging
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