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SAR image change detection method based on non-local cv model

An image change detection, non-local technology, applied in the image field, can solve problems such as unsatisfactory results of complex image segmentation, and achieve the effect of avoiding local optimization problems and enhancing robustness

Active Publication Date: 2020-04-28
XIDIAN UNIV
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Problems solved by technology

Due to the use of local features, boundary-based models tend to fall into local optimal solutions, and the segmentation results are largely affected by noise, texture, and mixed features, so their segmentation results for complex images are not satisfactory

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  • SAR image change detection method based on non-local cv model
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  • SAR image change detection method based on non-local cv model

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Embodiment Construction

[0028] refer to figure 1 , the implementation steps of the present invention are as follows:

[0029] Step 1, two remote sensing images X acquired at different times in the same region 1 and x 2 , to construct a difference map X.

[0030] Step 2. Initialize the level set function φ as a signed distance function. According to the sign of the level set function value, divide the entire image area of ​​the difference map X into the inner area Ω 1 and the outer region Ω 2 , make a rectangular contour curve on the difference map X, and initialize the level set function φ=±D. When φ>0, it means the inner area Ω of the rectangular contour curve 1 , when φ2 , when φ=0, it means that the pixel points in the difference map are on the rectangular contour curve. Among them, D represents the Euclidean distance from the pixel point in the difference map to the rectangular contour curve.

[0031] Step 3: Set the initial value of the number of cycles n as n=0, and set the level set fun...

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Abstract

The invention discloses a method for detecting SAR image changes based on a non-local CV model. The implementation method comprises following steps: (1) inputting two SAR images of a same area at different times to form a difference chart; (2) drawing rectangular profile curves on the difference chart and initializing a level set function; (3) calculating grey level average values of an internal area and an external area; (4) establishing total energy function E based on non-neighborhood information and regional information; (5) obtaining new level set function [phi]n+1 by minimizing E and updating level set function [phi] through the gradient descent method and using the new level set function to divide the difference chart X; (6) determining whether the current [phi]n+1 can make the total energy function E reach a minimum value or not; if the current [phi]n+1 can make the total energy function E reach a minimum value, the iteration is stopped and final change detection results are output; otherwise, returning to step 3. The method is more sensitive to difference positions; the robustness of initialization and image quality are increased.

Description

technical field [0001] The invention belongs to the field of images, and mainly solves the problem of change detection of remote sensing images, and specifically relates to a change detection model based on non-neighborhood statistical active contours to realize change detection of SAR images. Background technique [0002] With the development of a series of optical and radar satellite operation services, a large amount of remote sensing data has been continuously accumulated, and various spatial databases based on remote sensing image data have been established successively. Through further analysis, processing and interpretation of these image data, the image data obtained by remote sensing technology can be transformed into useful information, and then serve various fields of the national economy. [0003] The change detection technology of remote sensing images is an important part of remote sensing image research. It uses image processing and pattern recognition to comp...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/11
CPCG06T7/001G06T2207/10044
Inventor 公茂果王倩刘嘉马文萍张普照赵秋楠马晶晶胡天妤
Owner XIDIAN UNIV
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