Synthetic SAR Image Generation using Sensor, Terrain and Target Models

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Abstract

A tool to generate synthetic SAR images of objects set on a clutter background is described. The purpose is to generate images for training Automatic Target Recognition and Identification algorithms. The tool employs a commercial electromagnetic simulation program to calculate radar cross sections of the object using a CAD-model. The raw measurements are input to a SAR system and terrain model, which models thermal noise, terrain clutter, and SAR focusing to produce synthetic SAR images. Examples of SAR images at 0.3m and 0.1m resolution, and a comparison with real SAR imagery from the MSTAR dataset is presented.
Original languageEnglish
Title of host publicationProceedings of EUSAR 2016: 11th European Conference on Synthetic Aperture Radar
Number of pages5
PublisherVDE Verlag
Publication date2016
Pages405-409
ISBN (Print)978-3-8007-4228-8
Publication statusPublished - 2016
Event11th European Conference on Synthetic Aperture Radar (EUSAR 2016) - Hamburg, Germany
Duration: 6 Jun 20169 Jun 2016
Conference number: 11
http://conference.vde.com/eusar/2016/Pages/default.aspx

Conference

Conference11th European Conference on Synthetic Aperture Radar (EUSAR 2016)
Number11
CountryGermany
CityHamburg
Period06/06/201609/06/2016
Internet address

Keywords

  • Signal Processing
  • Instrumentation
  • Automatic target recognition
  • Clutter (information theory)
  • Landforms
  • Radar
  • Radar cross section
  • Radar target recognition
  • Synthetic aperture radar
  • Thermal noise
  • CAD models
  • Clutter background
  • Electromagnetic simulation
  • Raw measurements
  • SAR focusing
  • SAR imagery
  • Target model
  • Terrain Modeling
  • Radar imaging

Cite this

Kusk, A., Abulaitijiang, A., & Dall, J. (2016). Synthetic SAR Image Generation using Sensor, Terrain and Target Models. In Proceedings of EUSAR 2016: 11th European Conference on Synthetic Aperture Radar (pp. 405-409). VDE Verlag.