Target Grouping and Formation Recognition Based on Movement Trend Features-Reference-Cited by-同舟云学术

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Target Grouping and Formation Recognition Based on Movement Trend Features

Published:2022 Issue: Volume: Page:824-835
ISSN:1876-1100
Container-title:Proceedings of 2022 10th China Conference on Command and Control
language:
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Author:

Meng Xiangxia,Li Tingting,Rao Jiaren

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-6052-9_74

Reference13 articles.

1. Long, Z.: Research on Force Aggregation for Airborne/Sea Targets. National University of Defense Technology, Changsha (2008)

2. Blackman, S., Popoli, R.: Design and Analysis of Modem Tracking Systems. Artech House, Dedham (1999)

3. Chen, K.: Target Clustering Based on Cluster Analysis Applied Research. Xidian University, Xian (2013)

4. Wang, X.X.: Research on Armored Target Aggregation Algorithm. Nanjing University of Science and Technology, Nanjing (2007)

5. Fan, Z., Shi, B., Chen, J., Duan, T.: Improved space partition based target clustering algorithm. Syst. Eng. Electron. 39(5), 991–995 (2017)

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