Intelligent Recognition Method for UAV Inspection Images Based on Improved YOLOv5 Algorithm
This paper presents an intelligent recognition method for UAV patrol image based on improved YOLOv5 algorithm.The independent coordinate system of the adjacent image of UAV inspection image is constructed,and the position relation of the common object in the image is determined by the relative orientation method.Then,by converting the inspection target to the same coordinate system,the advanced segmentation technique is used to extract the texture feature vector of the target,which provides strong support for the subsequent image recognition.In the process of improving YOLOv5 algorithm,special attention is paid to the selection of multi-scale network and the optimization combination of fusion activation function and loss function.The DJI UAV is used to acquire the inspection images of building cracks.The results show that the method can iden-tify different types of building cracks with high accuracy and high efficiency,and show excellent stability.This research pro-vides a new idea and method for intelligent recognition of UAV inspection image,which has a wide application prospect and practical value.
万方数据
维普
