SAR image registration method based on MRF image segmentation algorithm

An image segmentation and image registration technology, which is applied in image analysis, image enhancement, image data processing, etc., can solve the problems of low registration efficiency and achieve the effect of improving segmentation quality, registration efficiency and robustness

Active Publication Date: 2017-01-25
XIDIAN UNIV
View PDF5 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to overcome the deficiencies in the prior art above, and propose a SAR image registration method based on the MRF image segmentation algorithm, which is used to solve the low registration efficiency existing in the existing feature-based SAR image registration method technical issues

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 registration method based on MRF image segmentation algorithm
  • SAR image registration method based on MRF image segmentation algorithm
  • SAR image registration method based on MRF image segmentation algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] Below in conjunction with accompanying drawing and embodiment, the present invention is described in further detail:

[0037] refer to figure 1 , the present invention comprises the following steps:

[0038] Step 1. Use the MRF image segmentation method to perform image segmentation on the SAR image reference image and the image to be registered respectively. The implementation steps are:

[0039] (1a) set the segmentation category parameter of the MRF image segmentation method, in order to make the images after segmentation easier to distinguish, the segmentation category is set as 3 classes, obtain the MRF image segmentation method of determining the number of categories;

[0040](1b) Using the MRF image segmentation method to determine the number of categories, image segmentation is performed on the SAR image reference image and the image to be registered to obtain the segmented reference image and the image to be registered. The implementation steps are:

[0041] ...

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 provides an SAR image registration method based on an MRF image segmentation algorithm, and is used for solving the technical problem that an existing feature-based SAR image registration method is low in registration efficiency and poor in stability. The SAR image registration method comprises the following steps: segmenting an SAR image reference diagram and a to-be-registered diagram by using the MRF image segmentation algorithm; carrying out regional interception on the segmented reference diagram and the segmented to-be-registered diagram; respectively corresponding the intercepted segmented reference diagram image blocks and the intercepted segmented to-be-registered diagram image blocks into an SAR image reference diagram and a to-be-registered diagram; establishing SAR-Harris scale space of the SAR image reference diagram image blocks and SAR-Harris scale space of the to-be registered diagram image blocks; extracting SARSIFT feature points of the reference diagram image blocks and the to-be-registered diagram image blocks to form a matching point pair set; removing mismatched points by using a RANSAC algorithm; and optimizing the matching point pair set by using a mutual information method.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to a SAR image registration method, in particular to a SAR image registration method based on an MRF image segmentation algorithm, which can be used in fields such as image fusion and multi-temporal image change detection. Background technique [0002] Image registration is the process of matching and superimposing two or more images of the same scene taken at different times, different viewing angles or different sensors. Its main purpose is to eliminate or reduce the geometric deformation caused by different imaging conditions between the reference image and the image to be corrected, so as to obtain two images with geometric consistency (best spatial position matching). It has been widely used in image fusion, multi-temporal image change detection and other fields. [0003] Synthetic Aperture Radar (SAR) is an all-weather, all-weather high-resolution microwave remote sens...

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): G06T7/00G06T7/11
CPCG06T2207/10044
Inventor 王爽焦李成常钊张丹丹樊伟明孟龙祥梁雪峰
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