30 November 2011 Detection algorithm and implement of space objects in star background
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Proceedings Volume 8201, 2011 International Conference on Optical Instruments and Technology: Optoelectronic Measurement Technology and Systems; 82011Y (2011) https://doi.org/10.1117/12.906500
Event: International Conference on Optical Instruments and Technology (OIT2011), 2011, Beijing, Beijing, China
Abstract
Optical observation for space objects plays more and more important roles in space objects surveillance. Based on the analysis of the motion characteristics of space objects, this study proposes a detection algorithm for space objects, which is based on the operation of frame-to-frame difference, auto threshold segmentation and morphological filtering (Top-Hat operator). According to the slowly varying characteristics of star background, the detection algorithm utilizes a method named frame-to-frame difference to eliminate stars, and detects space objects through auto threshold segmentation and morphological filtering. The algorithm is used easily to process the sequence of star images that are focused in the real condition, and detects space objects reliably in complicated back-ground of star background, which is also convenient to further target recognition and track.
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Zhenwei Li, Zhenwei Li, Chengzhi Liu, Chengzhi Liu, Mingguo Sun, Mingguo Sun, Cunbo Fan, Cunbo Fan, Xingwei Han, Xingwei Han, } "Detection algorithm and implement of space objects in star background", Proc. SPIE 8201, 2011 International Conference on Optical Instruments and Technology: Optoelectronic Measurement Technology and Systems, 82011Y (30 November 2011); doi: 10.1117/12.906500; https://doi.org/10.1117/12.906500
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