Presentation + Paper
31 May 2022 Broadening circular and linear SAR image and 3D volume parameters for accurate localization
Author Affiliations +
Abstract
Determining accurate location with Synthetic Aperture Radar (SAR) images is hindered not only by the limited resolution of the image but also by the non-rectangular nature of the process that produces the image, and the presence of multiple returns from di§erent height objects at the same range. Three dimensional SAR volume measurements can di§erentiate di§erent height scatterers but imaging methods are limited by the measurement scenario. Interpolation of images and volumes can normalize the collected data but can add inaccuracy to pixel and voxel impulse response (IPR) and localization estimates. Regions of best achievable accuracy deÖne the imaging algorithm performance envelope. Ideal localization occurs at the estimation bound of modeled point scatterers, and is also indicated by pixel and voxel size or IPR main lobe width. The performance envelope of SAR measurement scenarios, radar parameters, and imaging and estimation algorithms can reÖne system parameters of accurate localization. Use of analogous Circular and Linear SAR (CSAR and LSAR) scenarios enables joint trade-o§ of áight path along with imaging parameters. An ideal spherical construct underlies joint CSAR and LSAR, two and three dimensional SAR scenarios. This construct also ties CSAR and LSAR imaging to spherical ray-trace creation of phase history. For di§erent scenarios deÖned through a spherical model of parameters, localization performance of the imaging envelope, IPR and estimation accuracy are examined. Along with sample size and ideal chirp waveform sampling, the azimuth and elevation aperture is varied to include ideal and sub-sampling, and extension to achieve un-aliased images and volumes. Methods expanding the envelope are investigated.
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Matthew Pepin "Broadening circular and linear SAR image and 3D volume parameters for accurate localization", Proc. SPIE 12095, Algorithms for Synthetic Aperture Radar Imagery XXIX, 1209502 (31 May 2022); https://doi.org/10.1117/12.2612930
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KEYWORDS
Imaging arrays

Synthetic aperture radar

3D modeling

3D image processing

Convolution

Solid modeling

Radar

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