Synthetic SAR Image Generation using Sensor, Terrain and Target Models

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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.
Kusk, Anders ; Abulaitijiang, Adili ; Dall, Jørgen. / Synthetic SAR Image Generation using Sensor, Terrain and Target Models. Proceedings of EUSAR 2016: 11th European Conference on Synthetic Aperture Radar. VDE Verlag, 2016. pp. 405-409
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title = "Synthetic SAR Image Generation using Sensor, Terrain and Target Models",
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.",
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",
author = "Anders Kusk and Adili Abulaitijiang and J{\o}rgen Dall",
year = "2016",
language = "English",
isbn = "978-3-8007-4228-8",
pages = "405--409",
booktitle = "Proceedings of EUSAR 2016: 11th European Conference on Synthetic Aperture Radar",
publisher = "VDE Verlag",

}

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. VDE Verlag, pp. 405-409, 11th European Conference on Synthetic Aperture Radar (EUSAR 2016), Hamburg, Germany, 06/06/2016.

Synthetic SAR Image Generation using Sensor, Terrain and Target Models. / Kusk, Anders; Abulaitijiang, Adili; Dall, Jørgen.

Proceedings of EUSAR 2016: 11th European Conference on Synthetic Aperture Radar. VDE Verlag, 2016. p. 405-409.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

TY - GEN

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N2 - 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.

AB - 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.

KW - Signal Processing

KW - Instrumentation

KW - Automatic target recognition

KW - Clutter (information theory)

KW - Landforms

KW - Radar

KW - Radar cross section

KW - Radar target recognition

KW - Synthetic aperture radar

KW - Thermal noise

KW - CAD models

KW - Clutter background

KW - Electromagnetic simulation

KW - Raw measurements

KW - SAR focusing

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