The Impact of Background Resolution on Target Aquisitions Weapons Software (TAWS) Sensor Performance

Abstract

This study evaluated the sensitivity of TAWS detection range calculations to the spatial resolution of scenario backgrounds. Sixteen independent sites were analyzed to determine TAWS background. Multispectral satellite data were processed to different spatial resolutions from 1m to 8km. The resultant imagery was further processed to determine TAWS background type. The TAWS background type was refined to include soil moisture characteristics. Soil moisture analyses were obtained using in situ measurements, the Air Force's Agricultural-Meteorological (AGRMET) model and the Army's Fast All-seasons Soil Strength (FASST) model. The analyzed imagery was compared to the current default 1 deg. latitude by 1 deg. of longitude database in TAWS. The use of the current default TAWS background database was shown to result in TAWS ranges differing from the 1m standard range by 18-23%. The uncertainty was reduced to 5% when background resolution was improved to 8km in rural areas. By contrast, in urban regions the uncertainty was reduced to 14% when spatial resolution was reduced to 30m. These results suggest that the rural and urban designations are important to the definition of a background database.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2005
Accession Number
ADA432241

Entities

People

  • Charles M. Pearcy Ii

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acquisition
  • Air Force
  • Boundary Layer
  • Computer Programs
  • Databases
  • Detection
  • Grids
  • Measurement
  • Meteorology
  • Remote Sensing
  • Rural Areas
  • Satellite Imaging
  • Standards
  • Target Acquisition
  • United States
  • Urban Areas
  • Wind Turbines

Fields of Study

  • Environmental science

Readers

  • Atmospheric Remote Sensing.
  • Computational Modeling and Simulation
  • Urban Planning and Geography.

Technology Areas

  • Space