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SAR image change detection method based on pyramid pooling twin network

A technology of pyramid pooling and twin network, which is applied in the field of synthetic aperture radar SAR image change detection, can solve the problems of dependence and insufficient richness of image features, and achieve the effect of increasing richness and improving the accuracy of change detection

Active Publication Date: 2019-12-03
XIDIAN UNIV
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Problems solved by technology

[0006] The purpose of the present invention is to propose a SAR image change detection method based on the pyramid pooling twin network to solve the above-mentioned existing methods' dependence on the difference map and the lack of richness of image features, and improve the accuracy of change detection

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  • SAR image change detection method based on pyramid pooling twin network
  • SAR image change detection method based on pyramid pooling twin network
  • SAR image change detection method based on pyramid pooling twin network

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Embodiment Construction

[0027] The embodiments and effects of the present invention will be further described below in conjunction with the drawings.

[0028] Reference figure 1 , The specific steps for this example are as follows.

[0029] Step 1. Generate training samples and sample labels.

[0030] 1.1) Input two SAR images of the same area and different time phases, and perform histogram matching processing:

[0031] Take the first time phase map, the second time phase map, and each pixel in the label image as the center, and select a 31×31 square image block around each pixel, and each image block is used as a sample.

[0032] The label image refers to a reference image that has changed and has no non-changing parts in the area manually marked according to the input optical image of the region corresponding to the first time phase map and the optical image of the region corresponding to the second time phase map, or goes to the field Check the reference map of the marked area that has changed and has no ...

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Abstract

The invention provides an SAR (Synthetic Aperture Radar) image change detection method based on a pyramid pooling twinning network, which mainly solves the problem of inaccurate result caused by the fact that the change detection precision depends on a difference graph in the traditional method. The method comprises the following steps: 1) generating a training sample, a test sample and a sample label; 2) constructing a deep pyramid pooling twin network; 3) constructing a classification network; 4) training the deep pyramid pooling twin network and the classification network by using the training samples and the sample labels to obtain a trained model. According to the method, the use of a difference graph can be avoided, the influence of the difference graph on the change detection resultis effectively solved, the accuracy of change detection is improved, and the method can be used for environmental detection and disaster detection.

Description

Technical field [0001] The invention belongs to the field of image processing, and further relates to a synthetic aperture radar SAR image change detection method, which can be used to detect two SAR image change regions of different time phases in agricultural survey, natural disaster detection, and forest resource monitoring. Background technique [0002] Change detection refers to the technology that obtains the change information of an object or phenomenon by observing its state at different times. SAR image change detection is to analyze the SAR images of the same area at different times to detect the change information of the area. As a key technology of earth observation satellites, synthetic aperture radar SAR image change detection has been used in many fields including agricultural surveys, natural disaster detection, forest resource monitoring and so on. [0003] The traditional change detection method consists of the following classic three-step process paradigm: 1) in...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/46G06K9/62
CPCG06T7/0002G06T2207/10044G06T2207/20081G06T2207/20084G06T2207/20016G06V10/464G06F18/24
Inventor 王蓉芳丁凡陈佳伟刘波郝红侠尚荣华熊涛
Owner XIDIAN UNIV
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