Single-Shot Computational THz 3D Imaging
Year: 2024
Type: conference-paper
Abstract: Terahertz (THz) imaging holds promise in a wide range of application fields due to the penetration ability of $\mathbf{T H z}$ radiation, in combination with a relatively low wavelength, as compared to radar, which facilitates generating sharp images. However, existing THz imaging techniques typically rely on sequential scanning due to the unavailability of large detector arrays. The use of Compressive Sensing (CS) techniques can reduce the number of measurements but does not solve its sequential acquisition. In this work, we show the feasibility of single-shot THz 3D imaging leveraging a multi-aperture THz camera. Adopting a CS perspective, we construct a linear sensing model and assume target sparsity. Our experimental validation confirms that sparsity-promoting methods succeed in reconstructing 3D volumes from a few intensity measurements.
Institution: University of Wuppertal
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
Award: G6999788614
OpenAlex ID: W4403636414