Level set polarization SAR image segmentation method based on polarization characteristic decomposition

Abstract

A level set polarization SAR image segmentation method based on polarization characteristic decomposition, belonging to the radar remote sensing technology or the image processing technology. In the invention, a polarization characteristic vector v which is composed of three polarization characteristics: H, alpha and A is obtained by the polarization characteristic decomposition of each pixel point of the original polarization SAR image; the polarization characteristic vectors v of all the pixel points are combined into a polarization characteristic matrix omega so as to convert the segmentation problem of the polarization SAR image from data space to polarization characteristic vector space; and the condition that the characteristic vector definition is suitable for energy functional of the polarization SAR image segmentation is utilized and a level set method is adopted to realize the numerical value solution of partial differential equation, thus realizing the polarization SAR image segmentation. The method provided by the invention takes full use of the polarization information of the polarization SAR image; therefore, the image edge obtained by segmentation is relatively complete so that the local characteristic is maintained better, the robustness for noise is stronger, the stability of the arithmetic is higher and the segmentation result is accurate; and the invention reduces the complexity of data and can effectively improve the image segmentation speed.

Description

Technical field [0001] The invention belongs to radar remote sensing or image processing technology, that is, using image processing technology to analyze radar observation information, and specifically relates to the application of a level set method in fully polarized synthetic aperture radar (SAR) image segmentation. Background technique [0002] Polarization information is an important information resource in radar echo signals. It is of great significance for solving various threats faced by current radars and improving the signal detection capabilities of radars. Compared with traditional synthetic aperture radar (SAR), polarized SAR obtains a complex scattering matrix for each scattering unit through the combination of multiple polarized transmitting and polarized receiving antennas, thereby obtaining more abundant target scattering information. With the continuous development of fully polarized SAR theory, the interpretation of fully polarized SAR images has become a rese...

AI Technical Summary

Problems solved by technology

Since the target covariance matrix and coherence matrix contain all the polarization information, this method makes full use of the polarization information, but its shortcomings are also very obvious, because the target covariance matrix and coherence matrix are in each data point Everywhere is a 3×3 complex matrix, so its mathematical derivation and operation are very complicated, especially as the amount of data increases, this shortcoming will become more obvious

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