Markov random field (MRF) iteration-based synthetic aperture radar (SAR) unsupervised change detection method and device

A change detection and unsupervised technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problem that SAR image change detection technology cannot meet the detection accuracy and speed of simultaneous detection of strong and weak areas

Inactive Publication Date: 2013-02-13
CHINA ELECTRONIC TECH GRP CORP NO 38 RES INST
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Problems solved by technology

[0007] The purpose of the present invention is to solve the problem that the existing SAR image change detection technology cannot meet the needs of simultaneous detection of stronger and weaker regions, higher detection accuracy and speed, and real-time processing. Airport MRF (Markov Random Field) iterative SAR image unsupervised change detection method, the method uses the improved EM algorithm to robustly estimate the statistical parameters of the mixed

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  • Markov random field (MRF) iteration-based synthetic aperture radar (SAR) unsupervised change detection method and device
  • Markov random field (MRF) iteration-based synthetic aperture radar (SAR) unsupervised change detection method and device
  • Markov random field (MRF) iteration-based synthetic aperture radar (SAR) unsupervised change detection method and device

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[0055] The present invention will be further described below in conjunction with the accompanying drawings.

[0056] Figure 4 , 5 They are two ERS-1 SAR images I with an interval of 1 day 1 and ERS-2SAR image I 2 The experimental area after fine registration, the pixels of the experimental area shown in the two pictures are both 400×400. Except for noise, the object category in the image area does not change.

[0057] Such as Figure 6 As shown, in order to prove the effectiveness of this technique, based on I 2 A simulation of the changing area was carried out to form the image I 2c , where a 40×40 weakened region is filled at (101,101) and a 50×50 strengthened region is filled at (251,251). This experimental procedure uses Figure 4 and Figure 6 Perform data analysis and comparison.

[0058] see figure 1 , carry out the following operations according to the method of the present invention: adopt the mean filtering method, respectively to I 1 and I 2c Filterin...

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Abstract

The invention provides a markov random field (MRF) iteration-based synthetic aperture radar (SAR) unsupervised change detection method to overcome the defects of low detection capacity, accuracy and speed in the conventional SAR detection technology. Statistical parameters of a mixed distribution model of a difference map are estimated stably by an improved expectation-maximization (EM) algorithm, independency among pixels is defined by using an MRF model, and a more reliable and accurate image change detection result is generated by map cut-based MRF division. The invention also provides a device based on the method. The device comprises an optical fiber link input module, a digital signal processor (DSP), a synchronous dynamic random access memory (SDRAM), a compact peripheral component interconnect (CPCI) output module and a display terminal; the method and the device have the advantages that various high-accuracy high-speed unsupervised change detection can be realized; the device has the engineering application capacity of batch processing of mass data and meets the image analysis requirement under the complex condition; and compared with the conventional method, the method has the advantages that the processing accuracy and the processing speed are improved obviously.

Description

technical field [0001] The invention belongs to the technical field of remote sensing image data processing, and in particular relates to a non-supervised change detection method of radar images. Background technique [0002] Synthetic Aperture Radar (SAR) image change detection technology is a technology to detect surface changes based on different time-phase images acquired by airborne or spaceborne SAR. In recent years, SAR image change detection technology has become a research hotspot at home and abroad. Optical data is affected by factors such as climate, coverage, etc., and cannot meet all change detection needs. As an active microwave sensor, SAR has all-weather, all-day, and strong penetration capabilities. It is of great significance to use SAR images for change detection. At present, SAR image change detection has been widely used in many fields, such as land use analysis, forest harvesting monitoring, disaster estimation, military reconnaissance, strike effect ...

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IPC IPC(8): G06T7/00G06T5/00
Inventor 吴涛竺红伟陈曦牛蕾夏际金
Owner CHINA ELECTRONIC TECH GRP CORP NO 38 RES INST
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