SAR (Synthetic Aperture Radar) image change detection method based on mixing model

A technology of image change detection and hybrid model, which is applied in image analysis, image data processing, instruments, etc., can solve the problem of inconspicuous effect, achieve the effects of easier elimination of noise and improvement of change detection accuracy

Inactive Publication Date: 2013-01-09
XIDIAN UNIV
View PDF2 Cites 19 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In this paper, the hypothetical model in the K&I algorithm is improved, and the traditional Gaussian model is replaced by a generalized Gaussian model, which better conforms to the pixel distribution in the difference image, and the accuracy evaluation effect is also improved compared with the traditional K&I algorithm, but For the suppression of coherence spots, the effect is still not obvious

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 (Synthetic Aperture Radar) image change detection method based on mixing model
  • SAR (Synthetic Aperture Radar) image change detection method based on mixing model
  • SAR (Synthetic Aperture Radar) image change detection method based on mixing model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] The present invention will be further described below in conjunction with the accompanying drawings.

[0035] refer to figure 1 , the specific implementation steps of the present invention are as follows:

[0036] Step 1. Perform geometric registration and radiation correction on the two SAR images A and B taken at different times in a certain area, that is, align the corresponding ground objects at the same coordinate positions in images A and B one by one, and then align the two images Correct the radiation error caused by different shooting conditions.

[0037] Step 2, read in the two 3D SAR images A and B that have been registered and corrected in step 1, and only extract the one-dimensional information of images A and B, and use a size of 3 for images A and B after extracting one-dimensional information ×3 window for Lee filtering.

[0038] Step 3, perform logarithmic ratio processing on the filtered images A and B to obtain a logarithmic ratio image: ID=|lnA-ln...

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 (Synthetic Aperture Radar) image change detection method based on a mixing model, which mainly solves the problems of single mode structure, poor matching degree and poorer speckle noise suppression of the traditional SAR image change detection technology. The SAR image change detection method comprises the following steps of: (1) implementing geometric registration and radiation correction for two images with different time phrases in a same area; (2) inputting images to be matched and corrected; (3) preprocessing the input image; (4) extracting difference images for the pre-processed images ; (5) constructing a mixing model of the difference images; (6) constructing an evaluation function and a penalty function in the mixing model; (7) solving the evaluation function to obtain an optimal threshold value; and (8) outputting a result image according to the optimal threshold value. According to the SAR image change detection method based on the mixing model, the mixing model is modeled according to the extracted different images, the problem that the pixel distribution of the SAR image cannot be perfectly matched in a single model is solved, the false change information is reduced, and a better detection result is obtained.

Description

technical field [0001] The invention belongs to the technical field of image processing, and further relates to a hybrid model-based construction method in the technical field of SAR image change detection. The invention can be used for change detection of SAR images such as forest images, flood images, urban change images, etc., so as to realize real-time monitoring of disaster monitoring, land utilization, agricultural survey and other fields. Background technique [0002] As a representative of microwave remote sensing, synthetic aperture radar (SAR) has the advantages of all-weather, all-time, high resolution, and side-view imaging. In recent years, with the expansion of this technology from the military field to the civilian field, it has gradually become the focus of attention in the field of earth observation. SAR image processing is a new discipline developed in recent years, and it is also an important discipline closely related to national economic development and...

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): G06T7/00
Inventor 李阳阳蒋玉峰焦李成刘若辰公茂果马文萍尚荣华于昕
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