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- W4289713496 abstract "In order to effectively ensure the safety of air traffic, prevent runway intrusion in the field of civil aviation apron, and improve the utilization rate of airport runways, this paper focuses on the recognition research of aircraft target detection in optical image from large to small, from coarse to fine, based on the improved Yolo algorithm. Learn the application of image recognition to the detection of civil aviation aircraft, and establish a more regular and more specific data set for aircraft types used in civil aviation transportation such as Boeing and Airbus, so as to realize the extraction and monitoring of the precise recognition of aircraft targets in the civil aviation field, in order to realize the airport Real-time identification and monitoring of aircraft in key areas provides technical support for the safe operation of airports." @default.
- W4289713496 created "2022-08-04" @default.
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- W4289713496 date "2022-06-17" @default.
- W4289713496 modified "2023-10-18" @default.
- W4289713496 title "Research on Aircraft Target Detection Method Based on YOLO: IEEE ITAIC(ISSN:2693-2865)" @default.
- W4289713496 cites W3150428877 @default.
- W4289713496 doi "https://doi.org/10.1109/itaic54216.2022.9836475" @default.
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