Compressive sensing LIDAR for 3D imaging

Gregory A. Howland, Petros Zerom, Robert W. Boyd, John C. Howell

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

We present a proof-of-principal implementation of a single-pixel lidar for 3D imaging. Spatial resolution is obtained through compressive sensing. This technique allows for imaging through partially obscuring objects, such as foliage or camouflage net. Our implementation improves on multipixel designs with better SNR, a compact design, and highly scalable resolution.

Original languageAmerican English
Title of host publicationCLEO
Subtitle of host publicationScience and Innovations, CLEO_SI 2011
PublisherOptical Society of America (OSA)
ISBN (Print)9781557529107
DOIs
StatePublished - 2011
Externally publishedYes
EventCLEO: Science and Innovations, CLEO_SI 2011 - Baltimore, MD, United States
Duration: 1 May 20116 May 2011

Publication series

NameOptics InfoBase Conference Papers
ISSN (Electronic)2162-2701

Conference

ConferenceCLEO: Science and Innovations, CLEO_SI 2011
Country/TerritoryUnited States
CityBaltimore, MD
Period1/05/116/05/11

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