A method of target change detection

A change detection and target technology, applied in the field of remote sensing image processing, can solve the problems of being easily affected by registration errors and requiring high accuracy of segmentation results, achieving strong scene adaptability, saving processing time, and small calculations.

Active Publication Date: 2018-12-21
BEIJING AEROSPACE AUTOMATIC CONTROL RES INST +1
View PDF5 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The current object-oriented change detection algorithms can be generally divided into two categories, one is to segment an image to obtain the object, and search for the object on another image. This type of method only needs to be segmented once, but the segmentation results The accuracy requirement is very high, and when there is a new feature in the search image, it will not be detected; the other is to segment the two images at the same time, and compare the segmentatio

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
  • A method of target change detection
  • A method of target change detection
  • A method of target change detection

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0058] The technical solutions of the present invention will be described in detail below in conjunction with embodiments and drawings.

[0059] The military target change detection based on image guided filtering fusion and texture feature analysis adopted by the present invention can improve the efficiency of change detection while ensuring the accuracy of change detection through image fusion. First, a 2-dimensional Gabor filter is used to extract the saliency region of the image. The original image is used to guide the filtering of the saliency map, and the result is used as a weight map to weight the original image. Through the meanshift segmentation of the fused image, the spots are obtained. Then use the gradient histogram feature to calculate the texture intensity of the two original images, and compare the variance of the block texture intensity map to obtain the final change detection result.

[0060] See figure 1 , The specific implementation method includes the follo...

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

A method for detect a change of an object Firstly, the salient region of the image is extracted by Gabor texture feature, then the fusion image with salient object is obtained by guided filter fusion,and the fusion image is segmented by means of means shift, and then the HOG texture feature is used to compute the variance of the segmented texture, and the final change detection results are compared with each other. The technical proposal of the invention is based on the high-resolution remote sensing satellite image of the image guiding filter fusion and the texture characteristic analysis for the military target change detection technology, which can ensure the change detection precision and improve the change detection efficiency through the image fusion, and truly realizes the automatic, fast and accurate change detection of the military target.

Description

technical field [0001] The invention relates to a target change detection method, in particular to a technique for detecting military target changes based on high-resolution remote sensing satellite images based on image-guided filter fusion and texture feature analysis, and belongs to the technical field of remote sensing image processing. Background technique [0002] As a rising subject with broad application prospects, remote sensing technology is the only means that can provide large-scale dynamic observation data so far. Multitemporal image data for perception and monitoring. Therefore, analyzing the multi-temporal remote sensing images of the same geographic location becomes an effective way to obtain information on changes in the natural environment and military targets. [0003] Some methods of change detection using remote sensing images have been proposed, including pixel-based change detection methods and object-oriented change detection methods. In the case of...

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
IPC IPC(8): G06K9/00G06K9/34G06K9/38G06K9/40G06K9/46
CPCG06V20/13G06V10/28G06V10/30G06V10/507G06V10/267G06V2201/07
Inventor 云红全章启恒田振坡鞠雯李全运张苗苗刘跃成
Owner BEIJING AEROSPACE AUTOMATIC CONTROL RES INST
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