Road intersection detection method and device based on improved YOLOv3

Abstract

The invention relates to a road intersection detection method and device based on improved YOLOv3. The method mainly comprises the following steps: firstly, acquiring a road image; then, performing network training, and constructing an improved YOLOv3 network model; wherein the improved YOLOv3 network model comprises a feature extraction end and a feature detection end, the feature detection end comprises a plurality of channels, and in each channel, transversely broadening a corresponding convolution module to generate different feature maps, and then performing longitudinal aggregation; andadopting the improved YOLOv3 network model to identify a road image to be detected, and outputting a result. According to the invention, the convolution module in each channel of the improved YOLOv3 feature detection terminal is broadened transversely. different feature maps are generated according to the feature map set, and then longitudinal aggregation is carried out, so that the network widthof the convolution module of each channel can be wider, the expression capability of the network is enhanced, the detection difficulty of small-size road intersections in a complex remote sensing scene is reduced, and the detection precision is improved.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a road intersection detection method and device based on improved YOLOv3. Background technique [0002] As the hub of road connections, road intersections provide important information such as accurate location, direction, and topological relationship for the rapid construction of road networks. During the road network extraction process, the extracted roads will appear discontinuous due to the interference of many complex factors. At this time, taking the location of road intersections as the base point, information such as directions and topological relationships can be used to assist and guide the construction of road networks. [0003] However, based on the fact that road intersections are generally small planar targets in remote sensing images, the commonly used detection algorithms are mainly based on texture, shape, grayscale and other features for de...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a road intersection detection method and device based on improved YOLOv3, which is used to solve the problem that the detection of small-sized road intersections is very difficult and the detection accuracy is not high in complex remote sensing scenarios

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