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.