【摘要】 近年来,无人机被应用在越来越多的领域,尤其是在军事和民用领域。机场中由于无人机的误飞,会对客机的运行造成严重影响,从而威胁人们的生命财产安全。因此,如何高效精准地检测出机场中飞行的无人机至关重要。无人机目标检测是一个具有挑战性的问题。基于构建的无人机目标检测数据集,提出基于感受野的无人机目标检测算法。实验和主流方法做对比和分析,结果表明算法能取得较好的检测效果。更多还原

【Abstract】 In recent years, drones have been used in more and more fields, especially in military and civilian fields. In the airport, due to the wrong flight of the drone, it will have a serious impact on the operation of the passenger plane, thereby threatening the safety of people’s lives and property. Therefore, how to detect drones flying in airports efficiently and accurately is very important. UAV object detection is a challenging problem. Based on the constructed UAV object detection data set, a UAV object detection algorithm based on receptive field is proposed. Experiments and mainstream methods are compared and analyzed, and the results show that the algorithm can achieve better detection results.更多还原