SAR image power line detection method based on local Hough transform and morphological optimization

A technology of Hough transform and detection method, which is applied in the direction of computer components, instruments, characters and pattern recognition, etc., can solve the problems of weak reflection intensity, strong scattering, mixing, etc., and achieve the effect of suppressing interference and improving reliability

Active Publication Date: 2017-10-13
大连海伏科技有限公司
View PDF4 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the power line target is small and the reflection intensity is weak. Only when the radar line of sight is perpendicular to the power line or deviates from the left and right by two small deflection angles will Bragg resonance (Bragger) effect appear, and the power line target is easy to collide with roads, field ridges and other places. The object line segments are mixed, resulting in misjudgment of power line detection in SAR images and high false alarm rate

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
  • SAR image power line detection method based on local Hough transform and morphological optimization
  • SAR image power line detection method based on local Hough transform and morphological optimization
  • SAR image power line detection method based on local Hough transform and morphological optimization

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0020] The present invention will be further described below in conjunction with accompanying drawing:

[0021] refer to figure 1 , is a flow chart of the SAR image power line detection method based on the local Hough transform and morphological optimization of the present invention. The local Hough transform and morphologically optimized SAR image power line detection method includes the following steps:

[0022] Step 1: Obtain the original SAR image, use the Edison operator to perform edge detection on the original SAR image, and obtain a binary image containing edge information; in the above binary image containing edge information, the white pixel part represents the edge information, and the black pixel part represents Non-edge information, edge information mainly refers to the edge information of power lines, ridges, houses, roads, etc.

[0023] In step 2, a plurality of edge bands are divided in the binary image containing edge information, and each edge band is a con...

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 belongs to the technical field of SAR image power line detection, and particularly relates to a SAR image power line detection method based on local Hough transform and morphological optimization. Value image; divide a plurality of edge bands in the binary image containing edge information; in the binary image divided into multiple edge bands, use the Hough transform method based on the polar coordinate transformation space for each edge band. detection to obtain the Hough transform detection result; in each edge band of the Hough transform detection result, select the longest line segment, if the shortest distance between any other line segment and the longest line segment is less than the set distance threshold, And if the angle between the corresponding line segment and the longest line segment is less than the set angle threshold, the corresponding line segment will be discarded, otherwise, the corresponding line segment will be retained; finally the SAR image power line detection result is obtained.

Description

technical field [0001] The invention belongs to the technical field of SAR image power line detection, in particular to a SAR image power line detection method based on local Hough transform and morphological optimization. Background technique [0002] The power line is one of the important threat elements in the low-altitude flight environment, which seriously threatens the flight safety of the aircraft. Therefore, how to use microwave radar to quickly detect dangerous power line targets and ensure the safety of the aircraft's low-altitude flight is a very important scientific issue. [0003] Synthetic Aperture Radar (SAR) is an all-weather, all-time, and long-range high-resolution microwave remote sensing imaging radar. , has important practical significance and broad application prospects for the detection of low-altitude environmental threat elements. However, the power line target is small and the reflection intensity is weak. Only when the radar line of sight is perpe...

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
Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/54
Inventor 宋立超曾操刘洋朱圣棋申一伟陈佳东任超瑛
Owner 大连海伏科技有限公司
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