Identification and classification of objects in images obtained by UAV and orbital base imaging equipmenttion
To identify and classify objects on images obtained using UAV imaging and orbital-based imaging, a neural network classification model based on the use of an autoencoder and built on the architecture of an ensemble of multilayer perceptrons is proposed. Additionally, at the stage of highlighting inf...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Belarusian National Technical University
2023-02-01
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| Series: | Sistemnyj Analiz i Prikladnaâ Informatika |
| Subjects: | |
| Online Access: | https://sapi.bntu.by/jour/article/view/591 |
| _version_ | 1797873745319165952 |
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| author | A. A. Doudkin V. V. Ganchenko A. V. Inyutin E. E. Marushko |
| author_facet | A. A. Doudkin V. V. Ganchenko A. V. Inyutin E. E. Marushko |
| author_sort | A. A. Doudkin |
| collection | DOAJ |
| description | To identify and classify objects on images obtained using UAV imaging and orbital-based imaging, a neural network classification model based on the use of an autoencoder and built on the architecture of an ensemble of multilayer perceptrons is proposed. Additionally, at the stage of highlighting informative features, is added a color information, which is based on the per-channel histograms and is invariant to the scale and rotations of the image. The model is implemented using the Keras library. The use of the proposed model for classification into four classes: “Fire”, “Smoke”, “Vegetation” and “Buildings”, allows to achieve a classification accuracy above 99%. |
| first_indexed | 2024-04-10T01:20:01Z |
| format | Article |
| id | doaj.art-cc58bac5418240b28ade47e81e4b1fae |
| institution | Directory Open Access Journal |
| issn | 2309-4923 2414-0481 |
| language | English |
| last_indexed | 2024-04-10T01:20:01Z |
| publishDate | 2023-02-01 |
| publisher | Belarusian National Technical University |
| record_format | Article |
| series | Sistemnyj Analiz i Prikladnaâ Informatika |
| spelling | doaj.art-cc58bac5418240b28ade47e81e4b1fae2023-03-13T09:47:42ZengBelarusian National Technical UniversitySistemnyj Analiz i Prikladnaâ Informatika2309-49232414-04812023-02-0104303710.21122/2309-4923-2022-4-30-37440Identification and classification of objects in images obtained by UAV and orbital base imaging equipmenttionA. A. Doudkin0V. V. Ganchenko1A. V. Inyutin2E. E. Marushko3Объединенный институт проблем информатики НАН БеларусиОбъединенный институт проблем информатики НАН БеларусиОбъединенный институт проблем информатики НАН БеларусиОбъединенный институт проблем информатики НАН БеларусиTo identify and classify objects on images obtained using UAV imaging and orbital-based imaging, a neural network classification model based on the use of an autoencoder and built on the architecture of an ensemble of multilayer perceptrons is proposed. Additionally, at the stage of highlighting informative features, is added a color information, which is based on the per-channel histograms and is invariant to the scale and rotations of the image. The model is implemented using the Keras library. The use of the proposed model for classification into four classes: “Fire”, “Smoke”, “Vegetation” and “Buildings”, allows to achieve a classification accuracy above 99%.https://sapi.bntu.by/jour/article/view/591автоэнкодерансамбль многослойных персептроновклассификация |
| spellingShingle | A. A. Doudkin V. V. Ganchenko A. V. Inyutin E. E. Marushko Identification and classification of objects in images obtained by UAV and orbital base imaging equipmenttion Sistemnyj Analiz i Prikladnaâ Informatika автоэнкодер ансамбль многослойных персептронов классификация |
| title | Identification and classification of objects in images obtained by UAV and orbital base imaging equipmenttion |
| title_full | Identification and classification of objects in images obtained by UAV and orbital base imaging equipmenttion |
| title_fullStr | Identification and classification of objects in images obtained by UAV and orbital base imaging equipmenttion |
| title_full_unstemmed | Identification and classification of objects in images obtained by UAV and orbital base imaging equipmenttion |
| title_short | Identification and classification of objects in images obtained by UAV and orbital base imaging equipmenttion |
| title_sort | identification and classification of objects in images obtained by uav and orbital base imaging equipmenttion |
| topic | автоэнкодер ансамбль многослойных персептронов классификация |
| url | https://sapi.bntu.by/jour/article/view/591 |
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