Share Email Print
cover

Proceedings Paper

Lidar detection of temporal and spatial anomalies of multiple clouds
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

An algorithm using N-way analysis for the detection of multiple clouds in multi-wavelength lidar data is presented. Nway analysis is a tool for algebraic manipulation of N-dimensional (ND) data arrays, and it allows for spatial (range), temporal (time), and spectral (wavelength) information to be extracted simultaneously from 3D lidar data. The algorithm tracks the spectral signal strength and location of each of the multiple clouds through time within the lidar measurements via a method that is shown to be similar to multivariate anomaly detection. The method is data driven and can be applied to arrays of any number of dimensions (e.g., polarization as the 4th dimension). Results of the algorithm for CO2 lidar simulations of aerosol clouds are shown and discussed.

Paper Details

Date Published: 1 October 2008
PDF: 12 pages
Proc. SPIE 7111, Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing IV, 71110H (1 October 2008); doi: 10.1117/12.799512
Show Author Affiliations
Charles E. Davidson, Science and Technology Corp. (United States)
Avishai Ben-David, U.S. Army Edgewood Chemical Biological Ctr. (United States)


Published in SPIE Proceedings Vol. 7111:
Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing IV
Upendra N. Singh; Gelsomina Pappalardo, Editor(s)

© SPIE. Terms of Use
Back to Top