Method for detecting change of SAR images based on neighborhood similarity and double-window filtering

An image change detection and similarity technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problem of insufficient detection error rate

Inactive Publication Date: 2012-12-12
XIDIAN UNIV
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] The purpose of the present invention is: in order to overcome the insufficient detection error rate of the existing method, a method for constructing difference influence map based on neighborhood similarity is proposed, and a method for filtering difference image map designed according to its own characteristics, which makes up for some other differences Image map construction method to detect defects with low accuracy

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
  • Method for detecting change of SAR images based on neighborhood similarity and double-window filtering
  • Method for detecting change of SAR images based on neighborhood similarity and double-window filtering
  • Method for detecting change of SAR images based on neighborhood similarity and double-window filtering

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] as attached figure 1, the present invention comprises the following steps:

[0046] Step 1: Perform geometric correction and registration on two SAR images A and B in the same area at different times;

[0047] Step 2: According to the neighborhood similarity method, construct the difference image map DI of images A and B according to the following steps;

[0048] 2a) Obtain the pixel gray value neighborhood set N of the two-temporal SAR images A and B at the same position i 1 (i) and N 2 (i), whose size is N×N, N ∈ {3, 5, 7, 9};

[0049] 2b) Compare two neighborhood sets N 1 (i) and N 2 (i) to obtain the pixel gray value DI(i) of the difference image DI at position i:

[0050] DI ( i ) = min ( N 1 ( i ) ...

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 method for detecting the change of synthetic aperture radar (SAR) images based on neighborhood similarity and double-window filtering, and belongs to the field of change detection of the SAR images. The method comprises the following steps of: firstly, performing geometric correction and registration on two SAR images at different time in the same area; secondly, constructing a difference image graph by neighborhood similarity, and processing the difference image graph by double-window filtering; and finally, performing threshold processing on the filtered differenceimage graph by a maximum between-class variance (Ostu) threshold method to acquire a change detection result graph. By the change detection method based on the neighborhood similarity and the double-window filtering, the problem that the structure of the difference graph is severely influenced by speckle noise of the SAR images during the detection of the change of the SAR images is solved, so that change detection accuracy is improved.

Description

technical field [0001] The invention relates to the field of SAR image change detection, and relates to a method for constructing SAR image difference maps of different time phases. The method can be used to solve the problem of low detection accuracy in the field of SAR image change detection, and is suitable for improving the accuracy of SAR image change detection for various complex SAR images. Background technique [0002] SAR image change detection is a technique to qualitatively or quantitatively analyze and determine the characteristics and processes of surface changes from multi-temporal remote sensing images of the same geographical area acquired at different times. Because compared with the optical remote sensing system, the SAR system has the ability to acquire data around the clock, so the SAR image change detection technology is widely used in various fields, such as environmental monitoring, agricultural research, urban area research, forest monitoring, etc. ....

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 Patents(China)
IPC IPC(8): G06T7/00G06T5/00G06T7/11G06T7/136
Inventor 焦李成公茂果付磊马晶晶马文萍尚荣华李阳阳王桂婷周智强曹宇
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