Statistical Analysis of High Resolution SAR Ground Clutter Data

Abstract

The work described in this technical report deals with the problem of providing a statistical model of the backscattering from ground surfaces for high-resolution Synthetic Aperture Radar (SAR) systems. We report here the results of our research activity. In particular, the statistical analysis of amplitude, texture and speckle of high-resolution Xband MSTAR data of two different vegetated areas, grass field, and tree area. The analysis of the data has been performed focusing on the possible statistical differences and similarities in the statistical behavior of clutter due to changes of vegetation and terrain structure. The report is also devoted to the description of the analysis of clutter on many more data files, with particular attention to the range and cross-range correlation functions and Power Spectral Density (PSD). Also, speckle analysis is also extended to other SAR data sets in X- and L-band, at coarser resolution than MSTAR, including data from AIRSAR.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2005
Accession Number
ADA511169

Entities

People

  • F. Lombardini
  • Fulvio Gini
  • Maria S. Greco

Organizations

  • University of Pisa

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Clutter
  • Data Science
  • Detectors
  • Distribution Functions
  • Electromagnetic Scattering
  • Goodness Of Fit Tests
  • Ground Clutter
  • High Resolution
  • Information Science
  • Jet Propulsion
  • Probability Distributions
  • Radar Clutter
  • Statistical Analysis
  • Statistics
  • Synthetic Aperture Radar
  • Two Dimensional
  • Urban Areas

Fields of Study

  • Physics

Readers

  • Business Analytics
  • Radar Systems Engineering.