Abstract
With the rapid development of global aviation industry, the flight volume is rising rapidly, and the aviation industry is also rapidly entering the era of big data. In this paper, the digital extraction of image information assisted target recognition technology is used to extract the route and waypoint information on the picture and make it into vector civil aviation route. Combined with the massive flight plan and target trajectory on the Internet, track feature matching is realized to assist users to quickly discover targets.
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References
Chen, S., Huang, Y.H., Huang, W.Q.: Big data analytics on avaiation social media. In: The Case of China Southern Airlines on Sina Weibo IEEE Second International Conference on Big Data Computing Service and Applications, pp.152–155 (2016)
Sangaiah, A.K., Gaol, F.L., Mishra, K.K.: Guest editorial special section on big data & analytics architecture. Intell. Autom. Soft Comput. 26(3), 515–517 (2020)
Alhroob, A., Alzyadat, W., Imam, A.T., Jaradat, G.M.: The genetic algorithm and binary search technique in the program path coverage for improving software testing using big data. Intell. Autom. Soft Comput. 26(4), 725–733 (2020)
Zhou, S., Wang, J., Jin Y.: Route planning for unmanned aircraft based on ant colony optimization and voronoi diagram. In: Second International Conference on Intelligent System Design and Engineering Application, pp. 732–735. IEEE (2012)
Yakovlev, K.S., Makarov, D.A., Baskin, E.S.: Automatic path planning for an unmanned drone with constrained flight dynamics. Sci. Tech. Inf. Process. 42(5), 347–358 (2015). https://doi.org/10.3103/S0147688215050093
Li, J., Meng, X., Dai, X.: Collision-free scheduling of multi-bridge machining systems: a colored traveling salesman problem-based approach. IEEE/CAA J. Autom. Sinica 1–9 (2018)
Liu, G., Xu, H., Yang, S.: Multi-stage replica consistency algorithm based on activity. In: Shen, J., Chang, Y.-C., Su, Y.-S., Ogata, H. (eds.) IC3 2019. CCIS, vol. 1227, pp. 96–104. Springer, Singapore (2020). https://doi.org/10.1007/978-981-15-6113-9_11
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Liu, G., Dai, Y., Xu, H., Xia, W., Zhou, W. (2021). Research on Auxiliary Target Extraction and Recognition Technology in Big Data Environment. In: Sun, X., Zhang, X., Xia, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2021. Lecture Notes in Computer Science(), vol 12736. Springer, Cham. https://doi.org/10.1007/978-3-030-78609-0_55
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DOI: https://doi.org/10.1007/978-3-030-78609-0_55
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