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SAR (synthetic aperture radar) image change detection method based on low-rank matrix factorization

An image change detection and low-rank matrix technology, which is applied in image enhancement, image analysis, image data processing, etc., can solve the problem of low detection accuracy and achieve the effect of improving detection accuracy

Active Publication Date: 2014-11-12
XIDIAN UNIV
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Problems solved by technology

The disadvantage of these two unsupervised methods is that the detection accuracy is relatively low

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  • SAR (synthetic aperture radar) image change detection method based on low-rank matrix factorization
  • SAR (synthetic aperture radar) image change detection method based on low-rank matrix factorization
  • SAR (synthetic aperture radar) image change detection method based on low-rank matrix factorization

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Embodiment Construction

[0030] refer to figure 1 , the specific implementation steps of the present invention are as follows:

[0031] Step 1, input two SAR images of the same area, different time, and equal size, and perform speckle reduction processing:

[0032] (1a) Take any pixel c in the first input SAR image s As the center, a neighborhood of size N×N is selected as the search area of ​​the pixel, where N=21:

[0033] (1b) in pixel point c s As the center, take a block of size M×M, where M=7, and use the grayscale values ​​of all pixels in the block to form a matrix v s :

[0034] (1c) In addition to the center pixel c in the search area s Every pixel outside f t As the center, take a block of size M × M, and the gray values ​​of all pixels in the block form a matrix v t :

[0035] (1d) Calculate f after i-1 times of denoising according to the following weight formula t to c s the weight w s，t i-1 :

[0036] If the first input SAR image is an intensity image, use the weight formula...

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Abstract

The invention discloses an SAR (synthetic aperture radar) image change detection method based on low-rank matrix factorization, and mainly solves the problem that the existing method cannot detect an SAR image change region accurately. The implementation steps of the method include: firstly, performing speckle reduction pretreatment to two SAR images to be detected to obtain smooth SAR images; secondly, constructing logarithm ratio of the two images after speckle reduction; thirdly, performing low-rank sparse factorization of the logarithm ration to obtain a low-rank part and a sparse part of the logarithm ratio; fourthly, transforming the sparse part into a sparse matrix by column; and fifthly, performing clustering to the obtained sparse matrix by the K-means algorithm to obtain the final change detection results. The method has the advantage of accurate change detection region, and can be used in the fields of public security and video monitoring.

Description

technical field [0001] The invention belongs to the technical field of radar image processing, and in particular relates to a SAR image change detection method, which can be used to solve the problem of low detection accuracy in SAR image change detection. Background technique [0002] Image change detection is an important technique for analyzing and understanding multi-temporal remote sensing images, which has attracted extensive research in recent years. This stems from the wide application background of change detection methods, such as agricultural surveys, forest monitoring, natural disaster monitoring, urban change analysis, battlefield strike effect evaluation and so on. [0003] Image change detection is a method of analyzing multi-temporal remote sensing images obtained from the same area at different times. It focuses on identifying changes in objects in two remote sensing images. Existing change detection methods can be mainly divided into two categories: super...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T5/50
Inventor 张向荣焦李成张祎勃郑耀国李阳阳侯彪白静杨阳翁鹏
Owner XIDIAN UNIV
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