Deep flight track clustering based on spatial–temporal distance and denoising auto-encoding

The rapid development of the aviation industry imposes an urgent need for airspace traffic management. Meaningful clustering of flight tracks is of paramount importance for efficient operation and management of increasingly complex aerial space and traffic. Two key components exist in track clusteri...

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Bibliographic Details
Published in:Expert systems with applications Vol. 198; p. 116733
Main Authors: Liu, Guoqian, Fan, Yuqi, Zhang, Jianjun, Wen, Pengfei, Lyu, Zengwei, Yuan, Xiaohui
Format: Journal Article
Language:English
Published: New York Elsevier Ltd 15.07.2022
Elsevier BV
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ISSN:0957-4174, 1873-6793
Online Access:Get full text
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