SAR (Synthetic Aperture Radar) image fusion processing method based on statistical model

A statistical model and image fusion technology, applied in the field of image processing, can solve problems such as the influence of SAR image fusion processing

Inactive Publication Date: 2011-05-04
BEIHANG UNIV
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Problems solved by technology

[0033] The purpose of the present invention is to solve the problem that speckle noise has an influence on SAR image fusion processing, and propose a SAR image fusion processing method based on a statistical model, and realize SAR image and optical image fusion from the statistical characteristics of SAR ima

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  • SAR (Synthetic Aperture Radar) image fusion processing method based on statistical model
  • SAR (Synthetic Aperture Radar) image fusion processing method based on statistical model
  • SAR (Synthetic Aperture Radar) image fusion processing method based on statistical model

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[0183] The input optical image as Figure 4 As shown, the input SAR image is as Figure 5 as shown, Figure 6a~6d The processing results using different fusion processing criteria are given, where: Figure 6a is the fusion processing result using the maximum criterion, Figure 6b is the fusion processing result using the local variance criterion, Figure 6c is the fusion processing result using the local saliency criterion, Figure 6d It is the fusion processing result of the present invention. Due to the influence of speckle noise in the image, the processing results of the first three processing algorithms mainly reflect the characteristics of the optical image, while the SAR image not only does not inject complementary information into the fusion result, but causes the fusion processing result to become more blurred. The invention effectively considers the influence of the speckle noise, injects the complementary information in the SAR image into the fusion processing ...

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Abstract

The invention discloses an SAR (Synthetic Aperture Rader) image fusion processing method based on a statistical model, belonging to the field of image processing. The SAR image fusion processing method comprises the steps of: first, extracting edge features of an input image, finishing self-adaption amendment processing for a local analysis window based on the edge features, and ensuring a homogeneous target in the local analysis window; then, estimating model parameters of the input image by combining with the statistical model of the input image and utilizing data of the local analysis window; and finally, completing fusion processing of the image through combining with the statistical model of the input image and depending on the optimal estimation theory. In the SAR image fusion method, the optimal estimation processing of non linear equations is converted into the optimal estimation processing of linear equations, thus the fusion process is simplified, impacts of SAR image speckle noise and the edge features in the image on the fusion are comprehensively taken into account starting from the statistical features of an SAR image and an optical image, and the fusion processing effects between the SAR image and the optical image or between the SAR images are effectively improved.

Description

technical field [0001] The invention belongs to the field of image processing, and relates to an image fusion processing method, in particular to a statistical model-based SAR image fusion processing method. Background technique [0002] With the rapid development of modern remote sensing technology, optical, radar, infrared and laser sensor systems have been widely used, and more and more ground remote sensing data (multi-resolution, multi-temporal, multi-spectral) have been obtained. Due to the limitations of the imaging mechanism and technical conditions, the data acquired by any single sensor cannot fully reflect the characteristics of the target, and the use of multiple sensors to detect the target cooperatively can obtain the information of the target's multi-angle, multi-band, and multi-time phase. The advantages of the sensors themselves make up for their respective deficiencies. Through fine fusion processing, more comprehensive and accurate target information can b...

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Application Information

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IPC IPC(8): G06T5/50
Inventor 王鹏波陈杰魏雪云杨威徐华平周荫清
Owner BEIHANG UNIV
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