| Autor: |
ZHOU Jin, GAO Lanlan, LIU Wei |
| Jazyk: |
čínština |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Zhihui kongzhi yu fangzhen, Vol 46, Iss 3, Pp 102-108 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
1673-3819 |
| DOI: |
10.3969/j.issn.1673-3819.2024.03.015 |
| Popis: |
Aiming at the lack of effective analysis and identification of operational area in the traditional battlefield situation awareness process, a method of aerial battlefield target trajectory analysis method for operational area extraction is proposed. Firstly, based on the improved Douglas-Peucker algorithm, the featured trajectory is extracted based on the original target trajectory, thus reducing the trajectory redundant information. Secondly, the clustering by fast search and find of density peaks (CFSFDP) algorithm is used to cluster the featured trajectory, which obtains multiple featured points clusters. Finally, each featured points cluster is scanned based on Graham's convex hull algorithm to obtain closed polygons to characterize the combat areas. The feasibility and effectiveness of the algorithm model are verified by several case simulations. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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