Presentation + Paper
12 June 2023 Lidar tomography for remote sensing
Author Affiliations +
Abstract
Most lidar approaches configured for long range applications rely on large aperture telescopes or else aperture synthesis to resolve objects. Here we describe a different technique that draws its inspiration from computed tomography (CT) scan technology. This method, called lidar tomography, relies on narrow laser pulses to generate a series of highly-range resolved measurements from different look angles as the lidar platform moves around the object. We compare the convolutional backprojection technique for image reconstruction to a model based iterative algorithm to reconstruct images of various objects in a lab. We show through modelling and simulation that the lidar tomography approach can generate <1-inch resolved imagery from an airborne platform if sufficient angular diversity and appropriate geolocation accuracy requirements can be met.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Andre Van Rynbach, Sarah Krug, Andrew Reinhardt, and Brett Spivey "Lidar tomography for remote sensing", Proc. SPIE 12537, Laser Radar Technology and Applications XXVIII, 1253702 (12 June 2023); https://doi.org/10.1117/12.2663164
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KEYWORDS
Tomography

LIDAR

Image restoration

Reconstruction algorithms

CT reconstruction

Convolution

Image resolution

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