Synthetic SAR Image Generation using Sensor, Terrain and Target Models

Anders Kusk, Adili Abulaitijiang, Jørgen Dall

    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 - 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
    Number11
    Country/TerritoryGermany
    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

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