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Algorithm for detection of changing regions in sar images based on self-paced learning

A technology of area detection and image change, applied in the field of image processing, can solve problems such as difficult automatic selection, loss of image texture information, and artificial parameters, etc., to achieve the effect of improving self-learning ability, improving precision, and improving accuracy

Active Publication Date: 2019-11-22
XIDIAN UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

The disadvantage of this method is that the algorithm contains artificial parameters, which requires multiple tests to obtain the optimal parameter value, and it is not easy to automatically select according to the nature of the image itself.
The disadvantage of this method is that this method does not consider the influence of the speckle noise of the SAR image during the joint classification, and it is easy to cause the loss of part of the texture information of the image.

Method used

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  • Algorithm for detection of changing regions in sar images based on self-paced learning
  • Algorithm for detection of changing regions in sar images based on self-paced learning
  • Algorithm for detection of changing regions in sar images based on self-paced learning

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Embodiment Construction

[0037] The present invention will be further described below in conjunction with the accompanying drawings.

[0038] refer to figure 1 , the specific implementation steps of the present invention are as follows:

[0039] Step 1, read in the synthetic aperture radar SAR image.

[0040] Read in two registered and corrected synthetic aperture radar SAR images of different time phases in the same area I 1 and I 2 .

[0041] Step 2, normalization.

[0042] Using the following formula, the synthetic aperture radar SAR image I 1 and I 2 Perform normalization processing respectively to obtain the normalized synthetic aperture radar SAR image I 1 ' and I 2 ':

[0043]

[0044]

[0045] Among them, I 1 'Denotes synthetic aperture radar SAR image I1 Normalized synthetic aperture radar SAR image, min means to take the minimum value operation, max means to take the maximum value operation, I 2 'Denotes synthetic aperture radar SAR image I 2 Normalized synthetic aperture r...

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Abstract

The invention discloses a self-learning synthetic aperture radar SAR image change area detection method, which mainly solves the problem that the prior art is sensitive to the speckle noise of the synthetic aperture radar SAR image, which easily causes the loss of part of the texture information of the synthetic aperture radar SAR image question. Concrete steps of the present invention are as follows: (1) read in synthetic aperture radar SAR image; (2) normalize; (3) build change detection matrix; (4) select training sample set; (5) training depth belief network; ( 6) Constructing a probability matrix; (7) Updating the probability matrix; (8) Obtaining a change detection image. The invention effectively utilizes the local information of the original image and the self-learning ability of the deep belief network to reduce speckle noise, retain the local information of the image, and improve the accuracy of change detection.

Description

technical field [0001] The invention belongs to the technical field of image processing, and further relates to a synthetic aperture radar (Synthetic Aperture Radar, SAR) image change detection method based on self-paced learning in the technical field of remote sensing image change detection. The invention can be used to extract neighborhood pixel information of two synthetic aperture radar SAR images in different time periods in the same area, and use a self-step learning algorithm to learn the extracted pixel information to obtain a final change detection map. Background technique [0002] As an active microwave sensor, synthetic aperture radar has the characteristics of high resolution, all-weather, all-weather work and strong penetrating power, which makes synthetic aperture radar SAR have incomparable advantages over optical remote sensing images. Synthetic aperture radar SAR image change detection technology is to study the regional changes of two or more synthetic ap...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/62G06T7/33
CPCG06T7/337G06T2207/20081G06T2207/10044G06V20/13G06V10/443G06V10/751G06F18/214
Inventor 刘若辰焦李成王锐楠李建霞冯婕李阳阳张向荣
Owner XIDIAN UNIV
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