Terrain Backscattering Coefficient Generator

Abstract

Using already available data, a backscattering coefficient generator (BCG) for several types of terrain and measurement conditions is developed. The types of terrain are: (1) soils and rocks, (2) trees, (3) grasses, (4) shrubs, (5) short vegetation, (6) roads, (7) urban areas, (8) dry snow, and (9) wet snow. These data sets typically cover incidence angles ranging between 0 and 80 degrees where 0 is normal to the terrain. Measurement conditions are defined by: (1) incidence angle, (2) wave polarizations configuration (HH, HV, or VV), and (3) radar band (L, C, S, X, Ku, Ka, or W). The BCG output matches very closely the first and second moments of the published data. A modified chi-square goodness of fit test at a 0.05 significance level is introduced to automatically validate the generated output with measured data histograms. The BCG reproduces 100% of measured mean backscattering coefficient (BC) and standard deviation values. The modified validation test failed to reject the BCG output as representative of the measured data for 72% of simulated distributions having a database-source-point number (N) greater than 100. Noted discrepancies can be attributed to sparse BC data histograms and BCG limitations at incidence angles less than 20 degrees for certain terrain types.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1999
Accession Number
ADA362716

Entities

People

  • Ricardo Mediavilla

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies
  • Human Systems
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Backscattering
  • Clutter
  • Data Science
  • Data Sets
  • Databases
  • Electromagnetic Radiation
  • Electromagnetic Scattering
  • Generators
  • Information Science
  • Measurement
  • Polarization
  • Radar
  • Scattering
  • Standards
  • Statistics
  • Two Dimensional
  • Urban Areas

Readers

  • Radar Systems Engineering.
  • Regression Analysis.
  • Virology (or Medical Virology).