Sketch map and prior constraint based high resolution SAR image road network detection method

Abstract

The invention discloses a sketch map and priori constraint based high-resolution SAR image road network detection method, which mainly solves the problem that the road detection accuracy of the priorart is low. The scheme includes: 1) using a sketch model of an SAR image to obtain a sketch map of surface feature sparse representation; 2) extracting suspected road sketch line segments from sketchline segments representing multiple semantics according to a prior constraint and statistical information of a road; 3) calculating the spatial extension degree and the grayscale distribution connection degree of other sketch lines in a neighborhood region for the current suspected road sketch line segments, and combining the two features to further extract sketch line segments representing the road; and 4) performing heuristic connection on the sketch line segments and performing superpixel segmentation around the connected sketch line, and determining a final road region according to the segmentation result. The invention improves the accuracy of road detection, reduces a large number of false alarms, and can be used for high-resolution SAR image road network detection of complex large scenes.

Description

technical field [0001] The invention belongs to the technical field of image processing, and is a high-resolution SAR image road network detection method based on a sketch map and prior constraints, which can be used for detection of high-resolution SAR image road networks with complex and large scenes. Background technique [0002] As an important part of the modern transportation system, roads have a large number of applications in both military and civilian applications, such as map updates, navigation applications, traffic condition monitoring, urban development monitoring, etc., especially in post-earthquake rescue, road congestion and Damage is also a priority. In addition, roads are a basic feature in image processing, and accurate road extraction results provide a solid foundation for higher-level processing research such as multi-temporal and multi-view image registration, urban building block extraction, etc. [0003] With different resolutions of SAR images, the ...

AI Technical Summary

Problems solved by technology

Experimental results show that this method has a good effect on road extraction in low- and medium-resolution images, but this method is not suitable for road detection in high-resolution images that are too complex

[0007] In view of the existence of the above-mentioned various types of interference, the diversity of road types and the complexity of the environmental background, as well as the difficulties in the interpretation of road target extraction in high-resolution SAR images, road extraction from SAR images is still a complex and arduous task.

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