A fast maximum likelihood estimation method for equivalent number of looks map of polarimetric SAR image

By combining logarithmic determinant graphs and convolution operations, the equivalent number of views of polarimetric SAR images can be estimated quickly, solving the problem of excessive time consumption in existing technologies and achieving efficient number of views calculation.

CN116736300BActive Publication Date: 2026-03-27NORTHWESTERN POLYTECHNICAL UNIV
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Patent Information

Application Number
CN202310583567.5
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-05-23
Publication Date
2026-03-27
Estimated Expiration
2043-05-23

AI Technical Summary

Technical Problem

Existing maximum likelihood estimation methods for equivalent number of views of polarimetric SAR images lack analytical expressions, resulting in excessive computation time and making it difficult to meet the needs of high-efficiency applications.

Method used

A method combining logarithmic determinant plots and convolution operations is adopted. By calculating the logarithmic determinant plot, local mean plot, and local sample statistics plot of the polarimetric SAR image, the equivalent number of views plot is quickly estimated using the analytical approximation of ML estimation.

Benefits of technology

It significantly improves the computational efficiency of equivalent number of views maps for polarimetric SAR images, enabling fast and accurate estimation and meeting the needs of high-efficiency applications.

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Abstract

The application relates to a fast maximum likelihood estimation method of a polarized SAR image equivalent view number graph and relates to the technical field of imaging radar image processing. The method comprises the following steps: obtaining a logarithmic determinant graph of polarized SAR image data by adopting logarithmic operation; calculating a local mean value graph of the polarized SAR logarithmic determinant graph; calculating a local mean value graph of each channel data of the polarized SAR; calculating the determinant value of all pixel data of the polarized SAR image after local averaging, forming a corresponding determinant graph, and obtaining a logarithmic determinant graph by adopting logarithmic operation; obtaining a local sample statistic graph of the polarized SAR data equivalent view number estimation by adopting matrix subtraction; and quickly estimating the equivalent view number graph of the polarized SAR image by using an analytical approximation solving formula of the ML estimation and based on matrix operation. The method avoids the iterative numerical operation and initial interval setting problem of a traditional method, and the fast calculation method based on matrix operation and convolution has obvious efficiency advantages when the equivalent view number graph of the polarized SAR image is estimated.
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