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Unilateral generalized gaussian model-based threshold method for SAR (Source Address Register) image change detection

A Gaussian model and threshold technology, applied in image analysis, image data processing, instruments, etc., can solve the problems of high detection error rate and inability to fully fit the difference map histogram, etc., to achieve low detection error rate, best performance, The effect of improving accuracy

Inactive Publication Date: 2011-04-06
XIDIAN UNIV
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Problems solved by technology

However, these three models still cannot fully fit the difference map histogram, so their detection error rate is still high

Method used

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  • Unilateral generalized gaussian model-based threshold method for SAR (Source Address Register) image change detection
  • Unilateral generalized gaussian model-based threshold method for SAR (Source Address Register) image change detection
  • Unilateral generalized gaussian model-based threshold method for SAR (Source Address Register) image change detection

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Embodiment Construction

[0029] refer to figure 1 To realize a SAR image change detection threshold method based on the unilateral generalized Gaussian model of the present invention, first construct a difference map for two SAR images of the same region at different times, then obtain the histogram of the difference image, and then use the unilateral generalized Gaussian The model calculates the histogram probability distribution function of its no-change area, and then uses the Gaussian model to obtain the histogram probability distribution function of its changed area. Finally, the threshold is automatically determined by the maximum posterior probability method, and then the change detection result map is generated through the threshold. . The realization process of this invention is described in detail below:

[0030] 1. For two SAR images of the same region at different times I 1 , I 2Construct the diff image:

[0031] constructor via the formula Construct the ratio difference image DI, so...

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Abstract

The invention discloses a unilateral generalized gaussian model-based threshold method for SAR (Source Address Register) image change detection, belonging to the field of SAR image change detection. The threshold method comprises the implementation processes of: firstly, constructing a difference chart for two SAR images in the same region but in different times; solving a histogram of the difference images; then solving a probability distribution function of the histogram of an unchanged region by utilizing a unilateral generalized gaussian model; solving a probability distribution function of the histogram of a changed region by utilizing the gaussian model; determining a threshold automatically through a maximum posterior probability method; generating a change detection result chart through the threshold to complete the final detection of the changed regions in the two SAR images. In the invention, the fitting is carried out on a histogram curve of a threshold-generating region by utilizing a newly constructed model, therefore the precision of the final threshold is improved, and the threshold deviation caused by inaccurate curve fitting of the threshold-generating region is avoided to ensure that a better result is obtained through the SAR image change detection. Compared with several threshold methods for the SAR image change detection, the SAR image change detection result obtained in the invention has the optimal performance.

Description

technical field [0001] The invention belongs to the field of SAR image change detection and relates to a threshold technology in SAR image change detection. Specifically, a threshold method based on the unilateral generalized Gaussian model is proposed to solve the problem of high error rate in the detection of change regions in the field of SAR image change detection, and to improve the detection accuracy and speed in SAR image change detection. Background technique [0002] SAR image change detection is a technology that acquires multi-temporal remote sensing images of the same geographic area at different times, and qualitatively analyzes and determines the process and characteristics of surface changes. Compared with the optical remote sensing system, the SAR system has the ability to acquire data around the clock, so the SAR image change detection technology is widely used in various fields, such as environmental monitoring, agricultural research, urban area research, f...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/11
Inventor 焦李成公茂果曹宇王桂婷李阳阳马文萍马晶晶惠转妮周智强付磊
Owner XIDIAN UNIV
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