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...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Belarusian National Technical University
2023-02-01
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| Series: | Системный анализ и прикладная информатика |
| Subjects: | |
| Online Access: | https://sapi.bntu.by/jour/article/view/591 |
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