基于改进YOLO V5的无人机航拍图像小目标检测方法
Flight Control & Detection（2023）
Abstract
针对无人机航拍目标检测技术中目标聚集、目标较小及实时性差等问题,对YOLO V5的主干架构进行改进,简化Neck网络,提出了一种既能提高检测速度又能准确识别的无人机航拍图像检测技术方案.经过仿真实验测试,改进后的YOLO V5网络在保持识别精度的同时,检测速率提升了31％,满足无人机在航拍作业时对于准确性与实时性的要求.
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Key words
deep learning,UAV aerial photography,target detection
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