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The detection of aircraft conflicts based on video image processing
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Science & Technology Review | 2015, 33(12) : 24 - 28
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Science & Technology Review | 2015, 33(12): 24-28
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The detection of aircraft conflicts based on video image processing
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XIA Zhenghong1, WU Yuezhou2, LU Guopan1
Affiliations
    1. School of Air Traffic Control, Civil Aviation Flight University of China, Deyang 618307, China;
    2. Institute of Graphic Image Processing, College of Computer Science, Sichuan University, Chengdu 610064, China
Published: 2015-06-28 doi: 10.3981/j.issn.1000-7857.2015.12.003
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The ASR (aerodrome surveillance radar) can not be applied for a medium and small airport due to its high cost, and multi cameras might be used instead of the ASR to monitor the aircraft's movements there. By using the image edge detection and morphological image process approaches, the moving targets are recognized. And the tracks of aircraft are extracted, as well as their motion parameters. The moving target tracking algorithms and the conflict detecting model based on the DCPA (distance of closest point of approach) and the TCPA (time of closest point of approach) are proposed, and a prototype system is developed and applied in one General Aviation Airport for the conflict detecting, which shows that the aircraft conflict is effectively detected by this model and the video image process approach, and the safety and the efficiency of the airport ground operation are enhanced.
video image processing  /  edge detection  /  conflict detecting  /  DCPA  /  TCPA
夏正洪, 吴岳洲, 卢国盼. 基于视频图像处理的机场航空器冲突检测. 科技导报, 2015 , 33 (12) : 24 -28 . DOI: 10.3981/j.issn.1000-7857.2015.12.003
XIA Zhenghong, WU Yuezhou, LU Guopan. The detection of aircraft conflicts based on video image processing[J]. Science & Technology Review, 2015 , 33 (12) : 24 -28 . DOI: 10.3981/j.issn.1000-7857.2015.12.003
Year 2015 volume 33 Issue 12
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doi: 10.3981/j.issn.1000-7857.2015.12.003
  • Receive Date:2015-03-04
  • Online Date:2015-07-15
  • Published:2015-06-28
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  • Received:2015-03-04
  • Revised:2015-04-28
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表12种不同金属材料的力学参数
科
Family
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Number of
genus
种数
Number of
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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