Lidar tomography for remote sensing

Andre Van Rynbach; Sarah Krug; Andrew Reinhardt; Brett Spivey

doi:10.1117/12.2663164

12 June 2023 Lidar tomography for remote sensing

Andre Van Rynbach, Sarah Krug, Andrew Reinhardt, Brett Spivey

Proceedings Volume 12537, Laser Radar Technology and Applications XXVIII; 1253702 (2023) https://doi.org/10.1117/12.2663164
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States

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

Citation Download Citation

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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