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SAR image change detection method based on multi-objective optimization MOEA/D and fuzzy clustering

A technology for image change detection and multi-objective optimization, which is used in image analysis, image data processing, instrumentation, etc.

Inactive Publication Date: 2016-06-22
XIDIAN UNIV
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Problems solved by technology

[0008] The purpose of the present invention is to overcome the deficiencies of the above-mentioned prior art, and propose a SAR image change detection method based on multi-objective optimization MOEA / D and fuzzy clustering, by taking detail preservation and noise removal as two separate goals for multi-objective Optimized to solve the trade-off between the two essential goals of detail preservation and noise removal in SAR image change detection

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  • SAR image change detection method based on multi-objective optimization MOEA/D and fuzzy clustering
  • SAR image change detection method based on multi-objective optimization MOEA/D and fuzzy clustering
  • SAR image change detection method based on multi-objective optimization MOEA/D and fuzzy clustering

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Embodiment Construction

[0044] like figure 1 as shown,

[0045] The main flowchart step features are:

[0046] Step 101: Two images X of the same region obtained at different times after preprocessing such as registration and geometric correction 1 、X 2 Generate differences using the log ratio method Figure X l , the difference map is obtained according to the calculation formula of the log ratio method as follows:

[0047] X l = | log X 2 X 1 | = | log X 2 - log X 1 |

[0048] where X l is the calculated difference map, X 1 and x 2 are two preprocessed images at different times in the same area, and log is the natural logarithmic operator;

[0049] Step 102: Use the mean filtering method t...

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Abstract

The invention discloses a synthetic aperture radar (SAR) image change detection method based on a multi-objective evolutionary algorithm based on decomposition (MOEA / D) and fuzzy clustering. The problem of balancing two objectives, namely detail maintenance and noise removal in SAR image change detection is solved by a multi-objective optimization method. The method comprises the following steps of (1) generating a difference chart by using a logarithm contrast method for an image to be detected; (2) filtering the difference chart to obtain the denoised difference chart; (3) determining two objective functions according to the two objectives of detail maintenance and noise removal, and combining into a multi-objective optimization problem; (4) obtaining a Pareto front end of the multi-objective problem and a corresponding result chart by using the MOEA / D; (5) selecting a suitable change detection result chart from all results according to a requirement. Compared with a condition that only one solution is obtained by other change detection algorithms, the method has the greatest advantage that the method is used for obtaining an optimal solution set, and a user can select a more suitable solution according to the emphasis on the detail maintenance and the noise removal.

Description

technical field [0001] The invention belongs to the technical field of image processing and evolutionary computing, and relates to a multi-objective optimization algorithm MOEA / D and SAR image change detection, especially a SAR image change detection method based on multi-objective optimization MOEA / D and fuzzy clustering, which can be used for environmental monitoring, Agricultural survey, urban research, disaster relief work and other SAR image change detection related fields. Background technique [0002] In recent years, the synthetic aperture radar technology has developed rapidly. The spaceborne synthetic aperture radar system (Synthetic Aperture Radar, SAR) has observed the earth's surface for several years, and obtained a large amount of multi-temporal ground observation data. Many remote sensing researches are trying to develop technologies that can make good use of this information, including target extraction, object classification, edge detection, interferometry,...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00
Inventor 公茂果焦李成王桥马文萍马晶晶李豪雷雨刘嘉
Owner XIDIAN UNIV
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