Anzeige
Erschienen in:
2016 | OriginalPaper | Buchkapitel
Decision Fusion Moving Target Detection of Radar Video Based on D-S Evidence Theory
verfasst von : Xiaohan Yu, Wei Zhou, Jian Guan, Wenchao Hu
Erschienen in: Proceedings of the 5th International Conference on Electrical Engineering and Automatic Control
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Abstract
In dense clutter and complex multi-objective situation, radar automatic detection and tracking will produce many false tracks. In order to solve this problem, first, using iterative threshold segmentation method to rapidly detect the suspected targets from a single frame radar video image, and gaining the continuous multiframe detection results by accumulation. Then, synthesize single frame detection results and multiple frames accumulation results to extract the area change ratio and energy density of targets, and build their basic probability assignment (BPA) functions, respectively. In addition, D-S evidence theory is adopted to carry out decision fusion, to obtain the optimal decisions in order to realize the automatic detection of moving targets. Finally, the effectiveness of the algorithm is verified by experimental results.