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Deformed intersection recognition and feature extraction method based on integrated YOLOv5 and angle texture features

The present application relates to a kind of based on integrated YOLOv5 and angle texture feature's deformity intersection identification and feature extraction method, comprising the following steps: constructing deformity intersection definition criterion;Typical urban vector road network data is collected and is constructed as grid slice dataset, according to definition criterion, data set is labeled;Multiple YOLOv5 main network is trained using labeled data set, and integrated using weighted voting method obtains vector deformity intersection identification model;The vector road network to be detected is input into vector deformity intersection identification model, the number of deformity intersection, crop figure and crop frame information are obtained by identification, and the central longitude and latitude coordinates of each deformity intersection are calculated;Using angle texture feature algorithm, the number of road intersection in deformity intersection crop figure, included angle and deflection angle are identified, and deformity intersection feature distribution data set is constructed.Compared with prior art, the present application realizes the fast identification and positioning of deformity intersection in large-scale vector road network, and can automatically extract geometric features in deformity intersection.
Owner:TONGJI UNIV