Please use this identifier to cite or link to this item:
https://er.nau.edu.ua/handle/NAU/36122| Title: | System of Aided Classification of Ground Objects by Video Observation from Unmanned Aerial Vehicle |
| Authors: | Mukhina, Maryna Barkulova, Iryna |
| Keywords: | Feature vector descriptive space aided classification Bayesian segmentation |
| Issue Date: | Oct-2017 |
| Publisher: | Kyiv, “Osvita Ukrainy” |
| Series/Report no.: | IEEE 4th International Conference;October 17-19, 2017, Kyiv, Ukraine “Actual Problems of Unmanned Aerial Vehicles Developments” (APUAVD);266-269 |
| Abstract: | Analysis of classification system by video observation has been done. The system with aided classification based on probabilistic models is proposed. Feature vector contains the most informative components and allows the minimization of decision risks. Results have proven the reliability of classification during a number of video frames in the condition of non-full data descriptive space. |
| URI: | http://er.nau.edu.ua/handle/NAU/36122 |
| ISBN: | 978-1-5386-1816-5 |
| Appears in Collections: | Матеріали наукових, науково-практичних конференцій кафедри авіаційних комп'ютерно-інтегрованих комплексів |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 266-269.pdf | Доклад на конференции | 346.09 kB | Adobe PDF | View/Open |
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