@inproceedings{7b0d9573eb744030a8bbb16cb256f8c6,
title = "Improving the detection of wind fields from LIDAR aerosol backscatter using feature extraction",
abstract = "The tracking of winds and atmospheric features has many applications, from predicting and analyzing weather patterns in the upper and lower atmosphere to monitoring air movement from pig and chicken farms. Doppler LIDAR systems exist to quantify the underlying wind speeds, but cost of these systems can sometimes be relatively high, and processing limitations exist. The alternative is using an incoherent LIDAR system to analyze aerosol backscatter. Improving the detection and analysis of wind information from aerosol backscatter LIDAR systems will allow for the adoption of these relatively low cost instruments in environments where the size, complexity, and cost of other options are prohibitive. Using data from a simple aerosol backscatter LIDAR system, we attempt to extend the processing capabilities by calculating wind vectors through image correlation techniques to improve the detection of wind features.",
author = "Bickel, {Brady R.} and Rotthoff, {Eric R.} and Walters, {Gage S.} and Kane, {Timothy Joseph} and Mayor, {Shane D.}",
note = "Publisher Copyright: {\textcopyright} 2016 SPIE.; Optical Pattern Recognition XXVII ; Conference date: 20-04-2016 Through 21-04-2016",
year = "2016",
doi = "10.1117/12.2223932",
language = "English (US)",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "David Casasent and Alam, {Mohammad S.}",
booktitle = "Optical Pattern Recognition XXVII",
address = "United States",
}