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An Unsupervised SAR Image Change Detection Method

An image change detection, unsupervised technology, applied in the field of image processing, can solve the problems of low detection accuracy and efficiency

Active Publication Date: 2020-07-10
XIDIAN UNIV
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Problems solved by technology

[0005] The purpose of the present invention is to overcome the deficiencies of the above-mentioned prior art, and propose an unsupervised SAR image change detection method, which is used to solve the technical problems of low detection accuracy and efficiency in the prior art

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  • An Unsupervised SAR Image Change Detection Method
  • An Unsupervised SAR Image Change Detection Method
  • An Unsupervised SAR Image Change Detection Method

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Embodiment Construction

[0058] Below in conjunction with accompanying drawing and specific embodiment, the present invention is described in further detail:

[0059] refer to figure 1 . An unsupervised SAR image change detection method, comprising the steps of:

[0060] Step 1) Filter the two SAR images to be detected:

[0061] image im o 1 SAR image taken for time 1, image im o 2 SAR image taken for moment 2, im o 1 and im o 2 Shooting with the same location, on im o 1 and im o 2 For registration, the three-bit block matching filtering method is used to filter the registered SAR image, remove the coherent speckle noise in the image and maintain the image boundary information, and obtain the filtered image im 1 and im 2 :

[0062] im 1 ={im 1 (i,j)|1≤i≤H,1≤j≤W},

[0063] im 2 ={im 2 (i,j)|1≤i≤H,1≤j≤W},

[0064] H represents the height of the obtained SAR image, W represents the width of the obtained SAR image, and (i,j) represents the position of the pixel in the image.

[0065]...

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Abstract

The invention proposes an unsupervised SAR image change detection method, which is used to solve the technical problems of low detection accuracy and calculation efficiency existing in the prior art. The implementation steps are: filter the two-temporal SAR image after registration; generate the initial difference map; perform significance detection on the initial difference map to obtain the significant difference map; use the fuzzy C-means clustering algorithm to pre-classify the significant difference map Obtain candidate training samples and uncertain samples; perform equalization processing on candidate candidate training sample sets to obtain training samples; use PCA filter to extract training image features and uncertain sample features; use training sample features to train support vector machines, use The trained support vector machine classifies uncertain samples and obtains change detection results. The invention can improve the calculation detection accuracy and reduce the calculation time, and can be used for evaluating disasters and predicting disaster development trends, target detection, land coverage and utilization monitoring, and the like.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to an image change detection method, in particular to an improved PCANet unsupervised SAR image change detection method, which can be used for evaluating disasters and predicting disaster development trends, target detection, land cover and utilization monitoring, etc. . Background technique [0002] Image change detection refers to the use of remote sensing images and other auxiliary data of the same surface area acquired in multiple periods to determine and analyze surface changes. play an important role. Microwave remote sensing represented by synthetic aperture radar (SAR) is an active microwave imaging sensor. Compared with microwave remote sensing such as optical remote sensing, SAR imaging technology not only has a variable side viewing angle, but also can obtain detailed geographic information without being affected by the weather, so it has a wide range of applicat...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/246G06T7/30G06K9/46G06K9/62
CPCG06T7/246G06T7/30G06T2207/10044G06T2207/20081G06V10/462G06F18/2135G06F18/23213G06F18/2411G06F18/214
Inventor 李明李梦柯吴艳张鹏刘慧敏柴磊
Owner XIDIAN UNIV
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