Paper
26 October 2011 An image acquisition planning tool for optimizing information content in image data of spaceborne SAR systems
Harald Anglberger, Sebastien Tailhades, Helmut Suess
Author Affiliations +
Proceedings Volume 8179, SAR Image Analysis, Modeling, and Techniques XI; 81790A (2011) https://doi.org/10.1117/12.898141
Event: SPIE Remote Sensing, 2011, Prague, Czech Republic
Abstract
In contrast to remote sensing with optical sensors, synthetic aperture radar (SAR) satellites require a slant imaging geometry for image acquisition. This fact and because SAR systems operate their sensors actively emphasize that the resulting shadowing effects can have crucial influence on the information content of the image product. Additionally, information retrieval is aggravated by layover effects, where e.g. signatures of target objects superimpose with clutter information. Especially for security applications, the prediction of the expected information content and the calculation of layover and shadow regions during mission planning could greatly improve the image product. This paper presents a toolset to optimize imaging geometry parameters for the image acquisition of a SAR sensor, that performs simulation techniques for finding layover and shadow regions in a given target scene. The described methods will be verified by applying them to TerraSAR-X system parameters and image data.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Harald Anglberger, Sebastien Tailhades, and Helmut Suess "An image acquisition planning tool for optimizing information content in image data of spaceborne SAR systems", Proc. SPIE 8179, SAR Image Analysis, Modeling, and Techniques XI, 81790A (26 October 2011); https://doi.org/10.1117/12.898141
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Cited by 2 scholarly publications.
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KEYWORDS
Synthetic aperture radar

3D modeling

Device simulation

Data modeling

Satellites

Scattering

Sensors

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