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Proceedings Paper

Target characterization in 3D using infrared lidar
Author(s): Bernard R. Foy; Brian D. McVey; Roger R. Petrin; Joseph J. Tiee; Carl W. Wilson
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Paper 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.

Paper Details

Date Published: 18 September 2001
PDF: 7 pages
Proc. SPIE 4370, Targets and Backgrounds VII: Characterization and Representation, (18 September 2001); doi: 10.1117/12.440075
Show Author Affiliations
Bernard R. Foy, Los Alamos National Lab. (United States)
Brian D. McVey, Los Alamos National Lab. (United States)
Roger R. Petrin, Los Alamos National Lab. (United States)
Joseph J. Tiee, Los Alamos National Lab. (United States)
Carl W. Wilson, Los Alamos National Lab. (United States)


Published in SPIE Proceedings Vol. 4370:
Targets and Backgrounds VII: Characterization and Representation
Wendell R. Watkins; Dieter Clement; William R. Reynolds, Editor(s)

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