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Change detection method of remote sensing image based on Graph-cut and general gauss model (GGM)

A remote sensing image and Gaussian model technology, applied in the field of image processing, can solve the problems of difficulty in determining the threshold value when classifying difference images, and difficulty in analyzing difference images by the ratio method, so as to achieve the effect of improving the classification accuracy.

Inactive Publication Date: 2010-06-23
XIDIAN UNIV
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Problems solved by technology

[0005] The purpose of the present invention is to propose a remote sensing image change detection method based on Graph-cut and generalized Gaussian model for the problem that the threshold value is difficult to determine when using the difference image classification constructed by traditional methods in change detection.
This method is used for differential image classification, does not require a threshold, and solves the problem of threshold selection
Solved the problem of difficult analysis of difference image by ratio method

Method used

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  • Change detection method of remote sensing image based on Graph-cut and general gauss model (GGM)

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Embodiment Construction

[0028] refer to figure 1 , the specific implementation process of the present invention is as follows:

[0029] Step 1, set two registered remote sensing images X 1 ={X 1 (i, j), 1≤i≤I, 1≤j≤J} and x 2 ={X 2 (i, j), 1≤i≤I, 1≤j≤J} are the data collected in the same area at t1 and t2 respectively, and the image at t1 is as follows figure 2 As shown in (a), the t2 time image is as follows figure 2 As shown in (b), let X R is the difference image obtained by comparing pixel by pixel by the ratio method, and the difference image of the contrast value is logarithmically transformed to obtain a logarithmic ratio difference image, such as image 3 as shown,

[0030] X LR = log X R = log X 2 X 1 = log X 2 - log X ...

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Abstract

The invention discloses a change detection method of remote sensing image based on Graph-cut and general gauss model (GGM), which solves the problems that the threshold value for difference image classification in prior art is difficult to determine, and the difference image structured by ratio method is difficult to analyze. The implementation process includes that: (1) the difference images are structured by logarithm ratio method; (2) the difference images are primarily classified through the Graph-cut algorithm; (3) the primary classification result is clustered through FCM algorithm; (4) the EM algorithm is adopted to estimate category parameters of the general gauss model (GGM); (5) the categories for pixels are judged according to Bayesian decision to obtain change detection results. As shown in the experiment, the invention has high detection accuracy, less false detection and strong practicality, and is applicable to hazards assessment and land utilization of sensing images.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to remote sensing image change detection, in particular to a remote sensing image change detection method based on Graph-cut and a Gaussian model. This method can be used to classify difference images in change detection of remote sensing images. Background technique [0002] Remote sensing technology is a technology to detect and identify targets from long-distance sensing of electromagnetic waves, visible light, and infrared rays reflected or radiated by the target itself. It is one of the fast and effective means of obtaining ground information. With the continuous development of remote sensing technology, change detection using multi-temporal remote sensing images in the same area has become an important application field of remote sensing technology. Remote sensing change detection usually includes four aspects: judging whether there is a change; determining the area wh...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G01S7/48
Inventor 焦李成张小华王爽侯彪严晓丹李洪峰王桂婷公茂果
Owner XIDIAN UNIV
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