A Generalized Gamma Copula Model for High Resolution Polarimetic SAR Change Detection (Preprint)

Abstract

In this paper, we describe a new approach to non-coherent change detection for high resolution polarimetric synthetic aperture radar (polSAR) exploitation. In the high resolution setting, the reduced size of a resolution cell diminishes the applicability of central limit theorem arguments that lead to the traditional Gaussian backscatter models that underpin existing polSAR change detection algorithms. To mitigate this, we introduce a new model for polSAR data that combines generalized Gamma (GG) distributed marginals within a copula framework to capture the correlation dependency between multiple polSAR channels. Using the GG-copula model, a generalized likelihood ratio test (GLRT) is derived for detecting changes within high resolution polSAR imagery. Examples using measured data demonstrate the non-Gaussian nature of high resolution polSAR data and quantify significant performance improvement when using the proposed GG-copula change detection framework.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2023
Accession Number
AD1215049

Entities

People

  • Joshua N. Ash
  • Stephen Herman

Organizations

  • Wright State University

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Air Force Research Laboratories
  • Algorithms
  • Backscattering
  • Change Detection
  • Data Analysis
  • Detection
  • Detectors
  • Electrical Engineering
  • Electromagnetic Scattering
  • Gaussian Distributions
  • High Resolution
  • Information Science
  • Radar
  • Remote Sensing
  • Scattering
  • Signal Processing
  • Synthetic Aperture Radar

Readers

  • Computational Modeling and Simulation
  • Radar Systems Engineering.
  • Statistical inference.