SAR (storage address register) image changing detection method based on improved C-V model
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An image change detection and model technology, applied in image analysis, image data processing, instruments, etc., can solve problems such as increasing the amount of calculation and reducing the speed of change detection.
Inactive Publication Date: 2012-11-14
XIDIAN UNIV
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However, the change detection method based on the traditional C-V model needs to correct the initial curve during the curve evolution process, that is, re-initialize to the signed distance function, which increases the amount of calculation, reduces the speed of change detection, and brings many problems to the detection results. fake change information
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Embodiment 1
[0037] refer to figure 1 , the implementation steps of this example are as follows:
[0038] Step 1, such as obtained at different times in the Ottawa area figure 2 The two SAR images shown are X 1 , X 2 , constructed using the logarithmic ratio method as image 3 Shown in the difference graph X, where figure 2 (a) represents the SAR image X 1 , figure 2Figure (b) represents the SAR image X 2 .
[0039] will be like figure 2 Image X shown in (a) 1 The gray value X of the pixel point (i, j) located in row i and column j in 1 (i, j) and the corresponding figure 2 Image X shown in (b) 2 The gray value X of the pixel in row i and column j in 2 (i, j), through the logarithmic ratio operation Get the gray value X(i, j) of the pixel point (i, j) in the i row j column in the difference map X, if X(i, j) is 0, it means the image X 1 The pixel in the image does not change with time, otherwise, consider the image X 1 The pixel in the image has changed; for the image...
Embodiment 2
[0068] refer to figure 1 , the implementation steps of this example are as follows:
[0069] Step 1, such as the data obtained at different times in the Yellow River estuary area Figure 5 The two SAR images shown in X' 1 , X' 2 , constructed using the logarithmic ratio method as Image 6 The difference graph X' shown, where Figure 5 (a) represents the SAR image X' 1 , Figure 5 Figure (b) represents the SAR image X' 2 , the specific implementation steps are as step 1 in embodiment 1.
[0070] Step 2: Initialize the level set function φ as a signed distance function, and divide the entire image area Ω of the difference map X’ into internal areas Ω according to the positive or negative value of the level set function 1 and the outer region Ω 2 , the specific implementation steps are as step 2 in embodiment 1.
[0071] Step 3: Set the initial value of the number of cycles n as n=0, and set the level set function φ at the nth cycle n =φ, according to the current level...
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Abstract
The invention discloses an SAR (storage address register) image changing detection method based on an improved C-V model, which mainly solves the problem that the precision of the detection result in the prior art is low. The implementation process of the method comprises the following steps of structuring a different map for two SAR images obtained in a same domain and in different time by a logarithmic ratio method; initializing a level set function as a symbol distance function, and dividing the different map area into two areas according to the negative and positive value of the level set function; respectively calculating gray average values of the two areas; structuring a total energy function including an energy function and a distance regular item based on the global regional information according to the gray level mean values of the twp areas and the level set function; and obtaining the minimum value of the total energy function through continuously updating the value of the level set function, and obtaining the change detection result map. According to the method provided by the invention, the level set function is used for showing a contour curve; as the value of the level set function is updated, the contour curve can be changed towards the boundary of the change area, thus, the global optimization and noise immunity can be realized; the precision of the detection result is improved, and the method can be used for disaster evaluation and environment detection.
Description
technical field [0001] The invention belongs to the field of SAR image change detection, in particular to a SAR image change detection method based on an improved C-V model. The method can be applied in the fields of environmental monitoring, military reconnaissance and disaster assessment to improve the accuracy of SAR image change detection results. Background technique [0002] With the rapid development of Synthetic Aperture Radar (SAR) technology, SAR system can acquire image data all day and all day, and it is a good image source for change detection. SAR image change detection is to compare and analyze the multi-temporal SAR remote sensing images obtained at different times in the same area, and obtain the change information of the ground objects or targets that people need over time according to the differences between the images. In recent years, many multi-temporal SAR image change detection methods have gradually emerged. The most commonly used SAR image change d...
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