TARGET CHARACTERIZATION IN 3D USING INFRARED LIDAR
Conference
·
OSTI ID:777754
We report examples of the use of a scanning tunable CO{sub 2} laser lidar system in the 9-11 {micro}m 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.
- Research Organization:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Organization:
- US Department of Energy (US)
- DOE Contract Number:
- W-7405-ENG-36
- OSTI ID:
- 777754
- Report Number(s):
- LA-UR-01-1995; TRN: AH200123%%66
- Resource Relation:
- Conference: Conference title not supplied, Conference location not supplied, Conference dates not supplied; Other Information: PBD: 1 Apr 2001
- Country of Publication:
- United States
- Language:
- English
Similar Records
Mapping Vegetation at Species Level with High-Resolution Multispectral and Lidar Data Over a Large Spatial Area: A Case Study with Kudzu
Remote sensing and geophysical characterization of a floodplain-hillslope system in the East River watershed, Colorado
Field evaluation of remote wind sensing technologies: Shore-based and buoy mounted LIDAR systems
Journal Article
·
Wed Feb 12 00:00:00 EST 2020
· Remote Sensing
·
OSTI ID:777754
+4 more
Remote sensing and geophysical characterization of a floodplain-hillslope system in the East River watershed, Colorado
Dataset
·
Tue Jan 01 00:00:00 EST 2019
·
OSTI ID:777754
+7 more
Field evaluation of remote wind sensing technologies: Shore-based and buoy mounted LIDAR systems
Technical Report
·
Fri Nov 03 00:00:00 EDT 2017
·
OSTI ID:777754