System of Aided Classification of Ground Objects by Video Observation from Unmanned Aerial Vehicle
| dc.contributor.author | Mukhina, Maryna | |
| dc.contributor.author | Barkulova, Iryna | |
| dc.date.accessioned | 2018-09-20T06:39:39Z | |
| dc.date.available | 2018-09-20T06:39:39Z | |
| dc.date.issued | 2017-10 | |
| dc.description.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. | uk_UA |
| dc.identifier.isbn | 978-1-5386-1816-5 | |
| dc.identifier.other | IEEE Catalog Number: CFP1729V-PRT | |
| dc.identifier.uri | http://er.nau.edu.ua/handle/NAU/36122 | |
| dc.publisher | Kyiv, “Osvita Ukrainy” | uk_UA |
| dc.relation.ispartofseries | IEEE 4th International Conference;October 17-19, 2017, Kyiv, Ukraine | |
| dc.relation.ispartofseries | “Actual Problems of Unmanned Aerial Vehicles Developments” (APUAVD);266-269 | |
| dc.subject | Feature vector | uk_UA |
| dc.subject | descriptive space | uk_UA |
| dc.subject | aided classification | uk_UA |
| dc.subject | Bayesian segmentation | uk_UA |
| dc.title | System of Aided Classification of Ground Objects by Video Observation from Unmanned Aerial Vehicle | uk_UA |
| dc.type | Technical Report | uk_UA |