Share Email Print

Proceedings Paper

A probabilistic model for simulating the effect of airborne dust on ground-based LIDAR
Author(s): Christopher Goodin; Phillip J. Durst; Zachary T. Prevost; Patrick J. Compton
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Field and laboratory measurements of Light Detection and Ranging (LIDAR) sensor interactions with dust have been performed for two types of common ground-based LIDAR sensors. A strong correlation (R2 > 0.95) between the probability for a return from the dust and the optical depth of the dust was found in the analysis. Based on the experimental correlation, a probabilistic model for LIDAR interactions with dust was developed and verified in field experiments. Finally, the model was integrated into a high-fidelity ray-tracing simulation of LIDAR systems.

Paper Details

Date Published: 23 May 2013
PDF: 8 pages
Proc. SPIE 8734, Active and Passive Signatures IV, 87340D (23 May 2013); doi: 10.1117/12.2016434
Show Author Affiliations
Christopher Goodin, U.S. Army Engineer Research and Development Ctr. (United States)
Phillip J. Durst, U.S. Army Engineer Research and Development Ctr. (United States)
Zachary T. Prevost, Univ. of Mississippi (United States)
Patrick J. Compton, U.S. Air Force Academy (United States)

Published in SPIE Proceedings Vol. 8734:
Active and Passive Signatures IV
G. Charmaine Gilbreath; Chadwick Todd Hawley, Editor(s)

© SPIE. Terms of Use
Back to Top