3D SAR Imaging Using a Hybrid Decomposition Super-Resolution Technique

Abstract

A technique to form super-resolved 3D Synthetic Aperture Radar (SAR) images from a limited number of elevation passes is presented in this paper. This technique models the environment as containing a finite number of isotropically radiating, frequency independent point scatterers in Additive White Gaussian Noise (AWGN), and applies a hybrid super-resolution method that yields the Maximum Likelihood (ML) estimates of scatterer strengths and resolves their locations in the data deficient dimension well beyond the Fourier resolution limit.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2000
Accession Number
AD1110515

Entities

People

  • Andrea L. Kraay
  • Walter S. Kuklinski

Organizations

  • MITRE Corporation

Tags

DTIC Thesaurus Topics

  • Additives (Chemicals)
  • Elevation
  • Environment
  • Feature Extraction
  • Frequency
  • Gaussian Noise
  • High Resolution
  • Image Processing
  • Image Reconstruction
  • Noise
  • Radar
  • Synthetic Aperture Radar
  • Three Dimensional

Readers

  • Electromagnetic Wave Scattering and Antenna Radiation Engineering
  • Image Processing and Computer Vision.
  • Statistical inference.