Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

SAR image change detection method based on hyper pixel saliency analysis

A technology of image change detection and superpixel segmentation, which is applied in the field of image processing, can solve problems such as long running time, and achieve the effect of improved change effect, good edge information and spatial information, and fast calculation speed

Active Publication Date: 2017-11-10
XIDIAN UNIV
View PDF3 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The change detection method based on the saliency map invented by Yang Chuan is based on the pixel feature, using the saliency map as a guide for change detection, and combining the spatial information of the image to improve the detection accuracy, but this method is calculated in units of pixels, resulting in long running time

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 change detection method based on hyper pixel saliency analysis
  • SAR image change detection method based on hyper pixel saliency analysis
  • SAR image change detection method based on hyper pixel saliency analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042] Refer to attached figure 1 , the implementation steps of the present invention are as follows:

[0043] Step 1. Input the data graph to obtain the logarithmic ratio graph c1.

[0044] Input the SAR images G1 and G2 to be detected at two different moments in the same scene, and obtain the logarithmic ratio map c1=log(G1+1)-log(G2+1) of the SAR image.

[0045] Step 2. Obtain the filter map of the logarithmic ratio map c1.

[0046] Set the filter graph p to be input, where p=c1, the radius r1 of the local window and the conventional coefficient e, call the guided filter function GD to filter the logarithmic ratio graph c1, and obtain the filter graph c: c=GD(c1,p, r1,e);

[0047] Step 3: Carry out superpixel segmentation on the filtered image c to obtain a segmented image L.

[0048] (3.1) Convert the filter image c into a color image;

[0049] (3.2) Set the number k of superpixel blocks, the balance weight coefficient m between color and space, the radius r of the me...

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 change detection method based on hyper pixel saliency analysis, for mainly solving the problem of low detection precision of the traditional technology. The scheme is as follows: 1) inputting images of the same scenes at two different moments to obtain a log ratio graph of the images; performing guide filtering on the log ratio graph to obtain a filtering graph; 2) performing hyper pixel segmentation on the filtering graph to obtain segmented graphs; 3) calculating the segmented graphs by using a saliency method to obtain saliency graphs; performing threshold processing on the saliency graphs, and combing the two images at different moments to obtain a differential graph; and 4) clustering the differential graph by using a fuzzy local information C mean clustering method to obtain a change graph. According to the SAR image change detection method, hyper pixel segmentation and guide filtering are imported, thereby not only reducing the noise of SAR images, but also effectively improving the accuracy of the SAR images by the obtained saliency graphs, and the SAR image change detection method can be used for detecting change areas.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a method for SAR image change detection, which can be used for change region detection. Background technique [0002] Image change detection technology is used to detect changes in the same place at different times, which has important application value. Synthetic Aperture Radar (SAR) has the characteristics of all-weather and all-time, and it is a good source of change detection information. The research on SAR image change detection technology has a very broad application prospect. Multi-temporal SAR image data contains more information than single SAR image data. Change detection technology has been widely studied in this area. It can obtain the required ground object change information through the difference analysis of SAR images in different periods. Change detection is mainly used for land use and land cover changes in resource and environmental monit...

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): G06T7/00G06T7/10G06T3/40G06K9/00G06K9/46G06K9/62
CPCG06T3/4053G06T7/0002G06T7/10G06T2207/10044G06V20/13G06V10/462G06F18/23
Inventor 曹向海王林冀雅梅吉贝贝焦李成
Owner XIDIAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap 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