Improving the detection of wind fields from LIDAR aerosol backscatter using feature extraction
| Autor: | Brady Bickel, Shane D. Mayor, Eric R. Rotthoff, Timothy J. Kane, Gage Walters |
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| Rok vydání: | 2016 |
| Předmět: |
010504 meteorology & atmospheric sciences
Meteorology Backscatter 010505 oceanography Feature extraction Image segmentation Tracking (particle physics) 01 natural sciences Wind speed Atmosphere symbols.namesake Lidar symbols Environmental science Doppler effect Physics::Atmospheric and Oceanic Physics 0105 earth and related environmental sciences Remote sensing |
| Zdroj: | Optical Pattern Recognition XXVII. |
| ISSN: | 0277-786X |
| DOI: | 10.1117/12.2223932 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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