A probabilistic model for simulating the effect of airborne dust on ground-based LIDAR

Christopher Goodin; Phillip J. Durst; Zachary T. Prevost; Patrick J. Compton

doi:10.1117/12.2016434

23 May 2013 A probabilistic model for simulating the effect of airborne dust on ground-based LIDAR

Christopher Goodin, Phillip J. Durst, Zachary T. Prevost, Patrick J. Compton

Proceedings Volume 8734, Active and Passive Signatures IV; 87340D (2013) https://doi.org/10.1117/12.2016434
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

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.

Citation Download Citation

Christopher Goodin, Phillip J. Durst, Zachary T. Prevost, and Patrick J. Compton "A probabilistic model for simulating the effect of airborne dust on ground-based LIDAR", Proc. SPIE 8734, Active and Passive Signatures IV, 87340D (23 May 2013); https://doi.org/10.1117/12.2016434

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