Remote sensing image road intersection extraction method based on structural index characteristic

Abstract

The invention relates to a remote sensing image road intersection extraction method based on structural index characteristic, and the method comprises the steps: a to-be-detected intersection position set is acquired according to line intersection information in a road network vector; an intersection image slice is acquired according to the intersection position and a buffer radius, and a multi-directional morphological filter is adopted to perform enhancement processing to remove obvious small-size interference ground objects. The intersection structure detection is mainly divided into two levels to execute, and the two levels include plane intersection structure detection and road vertical intersection structure detection. When a plane intersection structure detection result is inconsistent with the intersection structure in a navigation road network, a fake detection result caused by separating vertical intersection is considered, and a road vertical intersection structure detection method is further adopted to perform further detection and verification. The composite road intersection structure widely existing is considered, a prior road intersection model is used as a constraint and can perform a structured organization on extracted adjacent road intersection.

Description

technical field [0001] The invention relates to the technical field of remote sensing image applications, in particular to a method for extracting road intersections from remote sensing images based on structural index features. Background technique [0002] The topological structure of road network is one of the contents concerned in the update of basic geographic information road network, and it is an indispensable and important information for building a complete road. Road intersections are the centralized representation of the topological structure between road segments. By detecting the structural information of existing road vector intersections, the connection relationship between roads can be determined, and then the roads can be connected into a road network; and the road intersection information also provides powerful clues for new road detection and verification. Road intersection elements are mainly represented by point objects, which belong to road elements an...

AI Technical Summary

Problems solved by technology

The method based on edge detection is only suitable for the intersection detection task with significant edge features of the branch. Even for the road intersection extraction task with significant edge features of the branch, the interference of the edge features of the background objects will cause the stability of the intersection extraction method to decrease. , so its application is very limited

With the improvement of image resolution, mixed pixels are gradually replaced by relatively purer pixels, and the distribution of spectral characteristics of pixels inside the same kind of ground objects is also more complex, which makes the traditional corner detection and gradient statistical features Road intersection extraction method fails

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