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Optical Engineering

Enhanced resolution edge and surface estimation from ladar point clouds containing multiple return data
Author(s): Kevin D. Neilsen; Scott E. Budge
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Paper Abstract

Signal processing enables the detection of more returns in a digital ladar waveform by computing the surface response. Prior work has shown that obtaining the surface response can improve the range resolution by a factor of 2. However, this advantage presents a problem when forming a range image—each ladar shot crossing an edge contains multiple values. To exploit this information, the location of each return inside the spatial beam footprint is estimated by dividing the footprint into sections that correspond to each return and assigning the coordinates of the return to the centroid of the region. Increased resolution results on the edges of targets where multiple returns occur. Experiments focus on angled and slotted surfaces for both simulated and real data. Results show that the angle of incidence on a 75-deg surface is computed only using a single waveform with an error of 1.4 deg and that the width of a 19-cm-wide by 16-cm-deep slot is estimated with an error of 3.4 cm using real data. Point clouds show that the edges of the slotted surface are sharpened. These results can be used to improve features extracted from objects for applications such as automatic target recognition.

Paper Details

Date Published: 8 November 2013
PDF: 13 pages
Opt. Eng. 52(11) 113103 doi: 10.1117/1.OE.52.11.113103
Published in: Optical Engineering Volume 52, Issue 11
Show Author Affiliations
Kevin D. Neilsen, Utah State Univ. (United States)
Scott E. Budge, Utah State Univ. (United States)

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