A Polarimetric SAR Speckle Filtering Method Based on Mean Shift

Through the polarized SAR coherent spot filtering method based on mean movement, the problem of coherent spot noise in polarized SAR images is solved, and better filtering effect and polarization scattering characteristics are achieved, which is suitable for object detection in complex electromagnetic environments.

CN116433530BActive Publication Date: 2025-09-02NAT UNIV OF DEFENSE TECH
2 Cites 0 Cited by

Patent Information

Application Number
CN202310422091.7
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-04-19
Publication Date
2025-09-02
Estimated Expiration
2043-04-19

AI Technical Summary

Technical Problem

Coherent spot noise in existing polarized SAR images affects image interpretability. Traditional filtering algorithms fail to make full use of polarization information in the polarization covariance matrix, resulting in unsatisfactory filtering effect and boundary characteristics and polarization scattering characteristics that are not effectively maintained.

Method used

The polarized SAR coherent spot filtering method based on mean movement is adopted to estimate the probability density function through the kernel function, calculate the mean moving vector, and perform peak iterative search to realize the processing of non-diagonal elements of the polarized covariance matrix, combining spatial domain and value domain filtering, and make full use of polarization information and amplitude information.

Benefits of technology

It realizes better coherent spot filtering effect, maintains image details and boundary information, improves the preservation of polarization scattering characteristics, and is suitable for object detection in complex electromagnetic environments, and has important practical value.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The present invention discloses a polarization SAR coherent speckle filtering method based on mean shift, the purpose of which is to solve the problem that current methods are mostly based on statistical correlation between polarization channels, and thus easily filter only the diagonal elements of the polarization covariance matrix / polarization coherence matrix, thereby realizing the processing of non-diagonal elements and improving the filtering effect, and can realize the preservation of boundary features and polarization scattering characteristics, belonging to the field of radar electronic warfare. The technical solution is to estimate the probability density function according to the kernel function; calculate the mean shift vector according to the gradient of the probability density estimate of the kernel function; perform peak iterative search according to the obtained mean shift vector; and obtain the filtering result after the iterative search ends. The present invention is simple to operate, has a strong engineering foundation and application prospects, and can be extended to actual scenarios such as battlefield reconnaissance and detection of local targets in complex electromagnetic environments.
Need to check novelty before this filing date? Find Prior Art