Polarization-Based Image Segmentation and Height Estimation for Interferometric SAR

Abstract

To find scatterers in a synthetic aperture radar (SAR) image, a modification is proposed to improve peak region segmentation (PRS) with region merging. The modification considers the polarization of each pixel before it is added toa segment to ensure the segment only contains pixels of the same polarization. Prior to region merging, the polarization of the segments is compared, so that only segments with the same polarization are merged into a single region. The segmented regions are used to find the height of each scatterer through interferometric SAR (IFSAR) processing. Multiple methods of IFSAR are examined to find the best height estimator. The best height results come from using all the pixels in the segment from all four polarization channels

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Document Details

Document Type
Technical Report
Publication Date
Jun 16, 2022
Accession Number
AD1177684

Entities

People

  • Augusta J Vande Hey

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Classification
  • Composite Images
  • Computer Vision
  • Computer-Aided Design
  • Electrical Engineering
  • Engineering
  • Estimators
  • Feature Extraction
  • Geometry
  • Governments
  • Image Processing
  • Image Segmentation
  • Images
  • Information Processing
  • Radar
  • Remote Sensing
  • Scattering
  • Statistical Algorithms
  • Synthetic Aperture Radar
  • United States
  • United States Government

Fields of Study

  • Physics

Readers

  • Computer Vision.
  • Radar Systems Engineering.