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Hypercomplex number-based polarimetric synthetic aperture radar (SAR) image multi-channel joint matching method

A matching method, super-complex technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of reducing the image matching effect, strong noise, and the matching effect needs to be improved, so as to achieve improved effect, small multiplicative noise, Effect of Good Noise Immunity

Active Publication Date: 2017-06-09
THE 28TH RES INST OF CHINA ELECTRONICS TECH GROUP CORP
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Problems solved by technology

[0006] To sum up, the current matching methods for polarimetric SAR images are all matched in single-channel images, so that the unique polarization information contained in polarimetric SAR images cannot play a better role in image matching. effect, the matching effect needs to be improved
[0007] In addition, the polarimetric SAR image contains multiplicative noise, resulting in the greater the intensity of the image, the stronger the noise
Many international papers pointed out, such as the document "Applicability of the SIFT operator to geometric SAR image registration. International Journal of Remote Sensing, 2010, 31(8): 1959-1980", multiplicative noise greatly reduces the effect of image matching, It is a big problem to be solved urgently in polarimetric SAR image matching

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  • Hypercomplex number-based polarimetric synthetic aperture radar (SAR) image multi-channel joint matching method
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  • Hypercomplex number-based polarimetric synthetic aperture radar (SAR) image multi-channel joint matching method

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[0064] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0065] Such as figure 1 As shown, the multi-channel joint matching method for polarimetric SAR images based on hypercomplex numbers in the present invention is specifically implemented through the following steps:

[0066] (1) Pauli decomposition of polarimetric SAR images.

[0067] The two polarimetric SAR images to be matched are decomposed by Pauli, and the Pauli vectors containing three elements are obtained respectively. The polarimetric SAR image is usually represented by a 2×2 complex matrix Sinclair matrix, and the horizontal and vertical polarization base times are shown in Equation 1:

[0068]

[0069] Among them, H and V represent horizontal and vertical polarization respectively, and S ij where i represents the polarization mode of the transmitting antenna, j represents the polarization mode of the receiving ...

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Abstract

The present invention discloses a hypercomplex number-based polarimetric SAR image multi-channel joint matching method. The method comprises the steps of firstly carrying out the Pauli decomposition on the polarimetric SAR images, constructing a Pauli vector hypercomplex number form of the polarimetric SAR images, and then carrying out the symplectic decomposition on the Pauli vector hypercomplex numbers, carrying out the fast Fourier transform based on a decomposition result, and finally obtaining a matching position of the to-be-matched polarimetric SAR images by calculating the hypercomplex number phase correlation. The experimental results show that the method disclosed by the present invention still can obtain the accurate matching result and has a better matching performance even on the conditions that the local difference exists between the polarimetric SAR images, and the multiplicative noise is contained.

Description

technical field [0001] The invention relates to a polarimetric SAR image matching method, in particular to a multi-channel joint matching method of a polarimetric SAR image based on hypercomplex numbers. Background technique [0002] In recent years, polarimetric synthetic aperture radar (SAR) image matching technology has developed rapidly, and spaceborne polarimetric SARs such as RADARSAT-2, Terra SAR-X, and ALOS-2 have been launched one after another. Play an increasingly important role, such as image matching, target detection, image fusion, aircraft positioning and navigation and other fields. Among them, many applications based on polarization SAR need to comprehensively utilize the information of polarization SAR images under different imaging conditions (different time, different bands, different viewing angles, different incident directions or different sensors, etc.), such as terrain correction, environmental monitoring, etc. , aircraft positioning and navigation,...

Claims

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T2207/10044G06T2207/20056
Inventor 马文婷吴蔚熊朝华徐欣李晓冬
Owner THE 28TH RES INST OF CHINA ELECTRONICS TECH GROUP CORP
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