Hybrid cascaded SAR image change detection method based on MDS-SRM

A technology of image change detection and hybrid cascade, which is applied in the field of image processing, can solve the problems that SRM cannot obtain change detection results and increase the probability of over-merging errors, and achieve the effects of reducing the probability of erroneous merging, improving accuracy, and ordering reasonably

Active Publication Date: 2016-10-26
XIDIAN UNIV
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Problems solved by technology

However, the SRM algorithm only considers the regional mean difference for static sorting, which will lead to an increase in the probability of over-merging errors, and the final change detection result cannot be obtained with a single use of SRM

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  • Hybrid cascaded SAR image change detection method based on MDS-SRM
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  • Hybrid cascaded SAR image change detection method based on MDS-SRM

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[0029] specific implementation plan

[0030] The implementation steps and effects of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0031] refer to figure 1 , the implementation steps of the present invention are as follows:

[0032] Step 1, input two single-channel SAR images X of the same region at different times 1 、X 2 , and use the non-local mean algorithm to remove the coherent speckle noise in the two images, and obtain the denoised image I 1 , I 2 .

[0033] (1a) Select the noise image X before the change in the data set 1 ={X 1 (i)|i∈I}, I is the image pixel domain, for any pixel point i in the image, the non-local mean algorithm is used to denoise, and the estimated gray value of the point is obtained as:

[0034] I 1 ( i ) = Σ j ∈ I ...

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Abstract

The invention discloses a hybrid cascaded SAR image change detection method based on MDS-SRM, and the method mainly solves the problem in an existing SRM algorithm that the change detection is not precise due to factors such as static order. The method comprises the steps of: 1, inputting two-time-phase single-channel SAR images, and respectively carrying out denoising processing on the images; 2, constructing logarithm ratio graphs and mean value ratio graphs for the images after the denoising, and superposing the two kinds of graphs to form dual-channel difference images; 3, merging the dual-channel difference images, and obtaining a first merging result; 4, carrying out merging again based on the first merging result, and obtaining a second merging result; and 5, carrying out ascending sorting on grey mean value of all regions in the second merging result, carrying out regional merging, and obtaining a final change detection result. According to the invention, the detection precision of change regions in the SAR images is effectively improved, and the hybrid cascaded SAR image change detection method can be used for positioning disaster areas and analyzing the expanding condition of a city.

Description

technical field [0001] The invention belongs to the field of image processing, and further relates to a detection method of a two-time-phase image change area, which can be used for the positioning of disaster areas and the analysis of urban expansion. Background technique [0002] With the rapid development of remote sensing technology in recent years, the amount of remote sensing data is increasing day by day, and is widely used in environmental monitoring, atmospheric analysis and urban planning and other fields. Among them, SAR image change detection is applied to military and civilian fields, mainly involving the positioning of natural disaster areas such as floods, fires and earthquakes, the analysis of urban expansion, and the evaluation of strike effects in military applications. Therefore, it is important to study SAR image change detection. significance. [0003] SAR image change detection mainly includes three steps: preprocessing of time phase image, generation ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T5/00G06T5/50
CPCG06T5/002G06T5/50G06T7/0002G06T2207/10044
Inventor 张建龙张羽君高新波周晓鹏
Owner XIDIAN UNIV
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