@inproceedings{b3412772c2394086a5c911ff10fdcb38,
title = "Radish: Radar Implicit Shapes Via Extreme-Wideband Sub-Terahertz Synthetic Aperture Radar",
abstract = "We explore synthetic aperture radar (SAR) 3D imaging capabilities in the sub-THz band using a novel 110-260 GHz experimental testbed. We propose RADar Implicit SHapes (RADISH), a post-processing method that leverages the SAR's millimeter-level imaging resolution to estimate an object's 3D shape. RADISH first c onverts high-resolution SAR images to a detailed point cloud of a scanned object. The point cloud is then used to fit an implicit neural representation to the object's surface by approximating the signed distance function of the scene. We experimentally validate RADISH's ability to represent the salient geometric features of real-world 3D objects.",
keywords = "Sub-Terahertz, Surface Implicit Representations, Synthetic Aperture Radar",
author = "Farrell, \{Sean M.\} and Kris Li and Edwin Vargas and Ashutosh Sabharwal and Ashok Veeraraghavan and Everitt, \{Henry O.\} and Ariel Habshush and Li Zhang and Brian Woods",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 IEEE Conference on Computational Imaging Using Synthetic Apertures, CISA 2025 ; Conference date: 02-06-2025 Through 06-06-2025",
year = "2025",
doi = "10.1109/CISA64343.2025.11091563",
language = "English (US)",
series = "2025 IEEE Conference on Computational Imaging Using Synthetic Apertures, CISA 2025",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2025 IEEE Conference on Computational Imaging Using Synthetic Apertures, CISA 2025",
address = "United States",
}