Paper
18 September 2001 Target characterization in 3D using infrared lidar
Bernard R. Foy, Brian D. McVey, Roger R. Petrin, Joseph J. Tiee, Carl W. Wilson
Author Affiliations +
Abstract
We report examples of the use of a scanning tunable CO2 laser lidar system in the 9-11 micrometers region to construct images of vegetation and rocks at ranges of up to 5 km from the instrument. Range information is combined with horizontal and vertical distances to yield an image with three spatial dimensions simultaneous with the classification of target type. Object classification is made possible by the distinct spectral signatures of both natural and man-made objects. Several multivariate statistical methods are used to illustrate the degree of discrimination possible among the natural variability of objects in both spectral shape and amplitude.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bernard R. Foy, Brian D. McVey, Roger R. Petrin, Joseph J. Tiee, and Carl W. Wilson "Target characterization in 3D using infrared lidar", Proc. SPIE 4370, Targets and Backgrounds VII: Characterization and Representation, (18 September 2001); https://doi.org/10.1117/12.440075
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Cited by 3 scholarly publications.
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KEYWORDS
LIDAR

Gas lasers

Vegetation

Reflectivity

Speckle

3D acquisition

Carbon monoxide

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