Target scattering center extraction method by combining image segmentation with subspace matching pursuit

A technology of matching tracking and target scattering, applied in the field of radar, which can solve the problems of model mismatch, wrong classification of scattering centers, and large coupling between scattering centers.

Active Publication Date: 2014-12-03
XIDIAN UNIV
View PDF3 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to propose a target scattering center extraction method that combines image segmentation and subspace matching and tracking to solve the ...

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
  • Target scattering center extraction method by combining image segmentation with subspace matching pursuit
  • Target scattering center extraction method by combining image segmentation with subspace matching pursuit
  • Target scattering center extraction method by combining image segmentation with subspace matching pursuit

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0052] 1. Technical principles

[0053] A high-resolution SAR image is a two-dimensional scattering image of a target, which can be approximated as the sum of backscatter echoes from a small number of strong scattering centers. At present, there are three main models for extracting target scattering centers: ideal point scattering center model, attenuation index model, and attribute scattering center model. Among them, the attribute scattering center model is the most suitable for the scattering characteristics of SAR targets. It not only describes the location information and intensity information of the scattering center, but also describes the geometric size of the scattering center, as well as the dependence of the scattering center on frequency and azimuth, and can be reflected from this. The geometry of the performance target. Compared with the point scattering model and the decay index model, the attribute scattering center model contains more abundant features that ca...

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 target scattering center extraction method by combining image segmentation with subspace matching pursuit, and mainly solves a problem of inaccurate parameter estimation caused by a big coupling degree between a scattering center category discrimination error and a scattering center of a traditional attribute scattering center method. The implementation processes of the target scattering center extraction method comprises the following steps: 1) on the basis of an attribute scattering center model, constructing a redundant dictionary of an attribute scattering center; 2) on the basis of target frequency domain observation data, combining a threshold segmentation image segmentation method with a subspace matching pursuit method to solve sparse representation observed by a target in a frequency domain; and 3) according to the redundant dictionary of the attribute scattering center and the sparse representation observed by the target in the frequency domain, extracting a target attribute scattering center parameter. A target attribute scattering center can be effectively extracted, the geometric dimensions of the target and important components thereof can be precisely estimated, and the invention can be used for the classification and identification of a radar target.

Description

technical field [0001] The invention belongs to the technical field of radar, and relates to a target scattering center extraction method, which can be used to estimate the geometric dimensions of the target and its important parts, and provide important feature information for target classification and identification. Background technique [0002] Synthetic Aperture Radar (SAR) is an active microwave imaging sensor, which utilizes pulse compression technology in the range direction and comprehensive technology in the azimuth direction to achieve higher spatial resolution. SAR has the characteristics of all-day and all-weather reconnaissance, and provides information that optical sensors cannot provide. With its unique advantages, SAR has become an indispensable means of military reconnaissance and civil remote sensing. [0003] When the radar works in the high-frequency region, the total electromagnetic scattering of the target can be approximately equivalent to the sum of...

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): G06K9/46G06K9/34G01S13/90
Inventor 刘宏伟王鹏辉刘俊杜兰王英华纠博
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