Automated Detection of Insects in Lidar Data
| Autor: | Joseph N. Aist, Joseph A. Shaw, Elizabeth M. Rehbein, Trevor Vannoy, Riley D. Logan, Bradley M. Whitaker, Kyle R. Rust |
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| Rok vydání: | 2021 |
| Předmět: |
ComputingMethodologies_SIMULATIONANDMODELING
business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition ComputingMethodologies_ARTIFICIALINTELLIGENCE GeneralLiterature_MISCELLANEOUS Field (computer science) ComputingMethodologies_PATTERNRECOGNITION Lidar Classifier (linguistics) Lidar data Artificial intelligence business Subspace topology |
| Zdroj: | 2021 IEEE Research and Applications of Photonics in Defense Conference (RAPID). |
| Popis: | Lidar instruments have recently been developed for detecting insects during flight. However, insect detection algorithms are needed for automating the tedious, manual detection process. We report the use of a Subspace Discriminant classifier to detect insects in lidar data collected in the field. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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