Paper
12 December 2018 An improved unscented Kalman filter for satellite tracking
Author Affiliations +
Proceedings Volume 10846, Optical Sensing and Imaging Technologies and Applications; 108460I (2018) https://doi.org/10.1117/12.2503798
Event: International Symposium on Optoelectronic Technology and Application 2018, 2018, Beijing, China
Abstract
In order to detect satellite under sky background, we propose an optimized satellite object detection extraction and tracking algorithm under the sky background. The proposed satellite tracking processing consists of two stages. In the first stage of object detection and extraction, the background template based on the mixture Gaussian model is used to establish background frame, and then the background is removed by inter-frame difference method to obtain the object. In the subsequent object tracking stage, this paper proposes an improved untracked Kalman filter algorithm for object tracking. Firstly, it tracks multiple suspected objects in the background, and then introduces a path coherence function to eliminate the false objects. Compared with other methods, the experimental results show that our method can better meet the real-time requirement, eliminate false objects appeared in the sequence of images more efficiently and make the tracking trajectory smoother.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhenyu Zhu, Qiong Wu, Kun Gao, Youwen Zhuang, Jing Wang, and Guangping Wang "An improved unscented Kalman filter for satellite tracking", Proc. SPIE 10846, Optical Sensing and Imaging Technologies and Applications, 108460I (12 December 2018); https://doi.org/10.1117/12.2503798
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Filtering (signal processing)

Satellites

Detection and tracking algorithms

Digital filtering

Optical flow

Optical filters

Image processing

RELATED CONTENT


Back to Top