SAR image target detection method based on sketch and low-rank decomposition

A low-rank decomposition and sketch map technology, applied in the field of image processing, to achieve the effect of improving accuracy

Active Publication Date: 2016-03-09
XIDIAN UNIV
View PDF4 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The present invention overcomes the problem that the current synthetic aperture radar SAR image target detection method has a large dependence on the type and size of the target and the statistical distribution model of background clutter, and at the same time fully considers the characteristics of the synthetic aperture radar SAR image pixel space, Improves the accuracy of target location in synthetic aperture radar SAR images

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 target detection method based on sketch and low-rank decomposition
  • SAR image target detection method based on sketch and low-rank decomposition
  • SAR image target detection method based on sketch and low-rank decomposition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0048] The present invention will be further described below in conjunction with the accompanying drawings.

[0049] Refer to attached figure 1 , the concrete steps of the present invention are as follows.

[0050] Step 1, SAR image sketching.

[0051] Using the synthetic aperture radar SAR sketch model, the sketch map of the input synthetic aperture radar SAR image is obtained.

[0052] For the synthetic aperture radar SAR sketch model and the synthetic aperture radar SAR image sketch tracking algorithm, refer to the article "Local maximal homogeneous region search for SAR speckler reduction with sketch-based geometric kernel function" published by JieWu et al. in the journal IEEE Transactions on Geoscience and Remote Sensing in 2014.

[0053] According to the synthetic aperture radar SAR image sketch tracking algorithm in this article, the sketch model suitable for multiplicative noise is used to obtain a sketch map that can represent the sparse structure information of th...

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 an SAR image target detection method based on sketch and low-rank decomposition, which mainly solves the problem of inaccurate artificial target positioning in the prior art. The SAR image target detection method is implemented by the steps of: (1) extracting a sketch of an SAR image; (2) extracting artificial target potential regions; (3) eliminating false alarm target regions to obtain an artificial target region; (4) constructing an observation matrix of the artificial target region; (5) adopting a robust principal component analysis RPCA method for decomposing the observation matrix to obtain a sparse graph of the artificial target region; (6) and positioning an artificial target. The SAR image target detection method can achieve a good target positioning result, and can be applied in the fields of SAR image target detection and subsequent target recognition.

Description

technical field [0001] The invention belongs to the technical field of image processing, and further relates to a synthetic aperture radar image (Synthetic Aperture Radar, SAR) target detection method based on a sketch map and low-rank decomposition in the technical field of synthetic aperture radar SAR image target detection. The invention can accurately detect the artificial target of the synthetic aperture radar SAR image, and can be used for the target recognition of the subsequent synthetic aperture radar SAR image. Background technique [0002] The target detection of synthetic aperture radar SAR image is mainly to use the difference between the target and the background in the texture and backscattering intensity statistical characteristics, to detect and extract the interest area of ​​the potential target from the original synthetic aperture radar SAR image, to realize the target and background separation. As the first step and basic link in the synthetic aperture r...

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 Applications(China)
IPC IPC(8): G06T7/00
CPCG06T2207/10044
Inventor 刘芳李婷婷闫晓莉郝红侠焦李成尚荣华马文萍马晶晶杨淑媛
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