Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Improved Lapras multi-extremum inhibition-based SAR image registration method

An image registration and Laplacian technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of reducing SAR image signal-to-noise ratio, SAR image random coherent speckle noise, etc., to improve accuracy, The effect of strong real-time and real-time accurate SAR image registration

Inactive Publication Date: 2017-02-01
XIDIAN UNIV
View PDF4 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Since SAR images in an oblique plane, there will be different degrees of geometric deformation when it is corrected to the ground plane, such as rotation, offset, stretching, projection, affine and other transformations; again, the imaging mechanism of the radar system causes the SAR image to appear relatively large. Severe random coherent speckle noise reduces the signal-to-noise ratio of 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
  • Improved Lapras multi-extremum inhibition-based SAR image registration method
  • Improved Lapras multi-extremum inhibition-based SAR image registration method
  • Improved Lapras multi-extremum inhibition-based SAR image registration method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

[0028] The embodiment of the present invention provides a SAR image registration method based on improved Laplacian multi-extremum suppression, refer to figure 1 , The method includes the following steps:

[0029] Step 1. Obtain a reference SAR image and a SAR image to be matched, and establish a SAR-Harris corner response space of the reference SAR image and a SAR-Harris corner response space of the SAR image to be matched, respectively.

...

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 radar SAR image registration, and discloses an improved Lapras multi-extremum inhibition-based SAR image registration method. The method comprises the following steps of: obtaining a reference SAR image and a to-be-matched SAR image, and respectively establishing SAR-Harris angular point response spaces of the two images; respectively extracting angular point coordinates of the SAR-Harris angular point response spaces; respectively positioning the angular point coordinates of the SAR-Harris angular point response spaces, determining a greyscale statistic value of a local neighborhood area of each angular point, determining a main direction of each angular point, and forming angular point feature vectors of the angular points of the two images; comparing the angular point feature vectors of the angular points of the two images to obtain matching point pairs of the two images; and carrying out image registration on the to-be-matched SAR image according to the matching point pairs of the two images, so as to improve the instantaneity and accuracy of the SAR image matching.

Description

Technical field [0001] The invention relates to the technical field of radar SAR image registration, in particular to a SAR image registration method based on improved Laplacian multi-extreme suppression, which is used for real-time SAR image registration of complex terrain scenes to realize high-precision positioning of a missile body. Background technique [0002] With the increasing maturity of synthetic aperture radar (Synthetic Aperture Radar, SAR) technology, research based on SAR image applications has become a hot spot. Among them, SAR image feature matching is popular because of its high military and civilian value. Especially in the field of radar detection and guidance, the use of SAR image matching to achieve high-precision positioning of the missile has become a key technology. [0003] As traditional inertial navigation errors gradually increase over time and cannot meet the demand for long-term high-precision positioning, it is necessary to find new positioning meth...

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): G06T7/33
CPCG06T2207/10044
Inventor 李亚超李玥苏星一全英汇邢孟道
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
Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com