Method, system and device for detecting SAR image based on ROF model semi-implicit denoising

An image detection, semi-implicit technology, applied in the field of remote sensing images, can solve problems such as unstable solution results and long iteration times, and achieve the effect of balancing detection accuracy and running time, accurate acquisition, and improving detection accuracy

Inactive Publication Date: 2018-09-11
XINJIANG UNIVERSITY
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Problems solved by technology

Currently, denoising methods for SAR images include lee filtering, frost filtering, and morphological denoising; there are many image denoising methods in the spatial domain, such as linear filtering, median filtering, and Wiener filtering; image transform domain denoising Methods include: Fourier transform and wavelet transform, etc. In recent years, emerging mathematical methods for denoising have attracted more and more attention from many scholars. In 1992, Rudin, Osher, and Fatemi proposed a total variation (TV) model, namely ROF model; while the explicit solution of the existing ROF model in the process of image denoising has the defects of unstable solution results and long iterations

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  • Method, system and device for detecting SAR image based on ROF model semi-implicit denoising
  • Method, system and device for detecting SAR image based on ROF model semi-implicit denoising
  • Method, system and device for detecting SAR image based on ROF model semi-implicit denoising

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[0032] The preferred embodiments of the present invention will be described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0033] Such as figure 1 As shown, a SAR image detection method based on ROF model semi-implicit denoising, including:

[0034] Step S1, perform logarithmic transformation on the two-temporal noisy image, and use the ROF model to denoise the logarithmically transformed noisy image using a semi-implicit difference scheme;

[0035] Step S2, performing a difference operation on the denoised two-temporal noisy images to obtain a difference map;

[0036] Step S3, clustering the difference graph to obtain a change detection result graph.

[0037] Preferably, in step S3, the change detection result graph is obtained by clustering the difference graph, specifically:

[00...

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Abstract

The invention discloses a method, system and device for detecting an SAR image based on ROF model semi-implicit denoising. The method is characterized in that the method comprises the steps: carryingout the logarithmic transformation of two time phase images with noise, and removing the noise of the images with noises through semi-implicit difference scheme via an ROF model after logarithmic transformation; carrying out the difference calculation of the two time phase images with noise, and obtaining a difference image; carrying out the clustering of the difference image, and obtaining a change detection result graph. The method achieves the more accurate and complete obtaining of the change information of a remote sensing image.

Description

technical field [0001] The invention relates to the field of remote sensing images, in particular to a SAR image detection method, system and device based on ROF model semi-implicit denoising. Background technique [0002] At present, remote sensing image change detection technology can help update geographic data, assess disasters, predict disaster development trends, and monitor land use. Due to the influence of various external factors and the limitations of SAR image imaging principles, the collected remote sensing images inevitably introduce a lot of noise. It brings interference to the change detection of the SAR image in the later stage. In order to obtain more accurate change detection information, it is necessary to remove the noise of the SAR image. [0003] Image denoising is a key link in digital image change detection processing, which has strong application value. Currently, denoising methods for SAR images include lee filtering, frost filtering, and morpholo...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T5/00G06T5/50G06K9/00G06K9/62
CPCG06T5/50G06T7/0002G06T2207/10044G06T2207/20224G06V20/13G06F18/23213G06T5/70
Inventor 娄雪梅贾振红
Owner XINJIANG UNIVERSITY
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