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

A detection method and a sketch image technology, applied in the field of image processing, can solve problems such as inappropriateness, and achieve the effect of removing false alarms and accurate positioning

Active Publication Date: 2018-11-27
XIDIAN UNIV
View PDF9 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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 vario...

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Sketch map and prior constraint based high resolution SAR image road network detection method
  • Sketch map and prior constraint based high resolution SAR image road network detection method
  • Sketch map and prior constraint based high resolution SAR image road network detection method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] The embodiments and effects of the present invention will be further described below in conjunction with the accompanying drawings.

[0035] refer to figure 1 , the specific implementation steps of the present invention are as follows:

[0036] Step 1, obtain the sketch map of the SAR image,.

[0037] Sketch the SAR image to get a sketch, such as image 3 shown;

[0038] The obtained sketch image is used as the semantic space of the SAR image, and the sketch line set C used to represent the sparse structure of the SAR image is obtained according to the positions of the sketch points in the sketch image:

[0039] C={C 1 ,C 2 ,...,C i ,...,C N}

[0040] Among them, C i Indicates the i-th sketch line in the sketch map: C i ={S i,1 ,S i,2 ,...,S i,j ,...,S i,m}, i=1,2,...N, N represents the total number of sketch lines in the sketch, S i,j Indicates the j-th sketch line segment that constitutes the i-th sketch line, j=1, 2,...m, and m represents the number of...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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 ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06K9/00G06K9/34
CPCG06V20/182G06V10/267
Inventor 刘芳李玲玲王雅静焦李成郭雨薇古晶陈璞花马文萍马晶晶
Owner XIDIAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap