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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/45943
Title: Augmentation Tools for Object Detection in Satellite Images by Using U-Net Neural Network
Authors: Zhuk, A.
Ablameyko, S.
Абламейко, С. В.
Keywords: материалы конференций;conference proceedings;object detection;satellite images;neural network;U-Net;data set;data augmentations
Issue Date: 2021
Publisher: UIIP NASB
Citation: Zhuk, A. Augmentation Tools for Object Detection in Satellite Images by Using U-Net Neural Network / Zhuk A., Ablameyko S. // Pattern Recognition and Information Processing (PRIP'2021) = Распознавание образов и обработка информации (2021) : Proceedings of the 15th International Conference, 21–24 Sept. 2021, Minsk, Belarus / United Institute of Informatics Problems of the National Academy of Sciences of Belarus. – Minsk, 2021. – P. 119–122.
Abstract: The paper proposes an approach to detect discrete objects on images, namely buildings using the U-NET neural network. The main idea of our approach is to use additional augmentations during model learning. The experiments carried out have shown good results.
URI: https://libeldoc.bsuir.by/handle/123456789/45943
Appears in Collections:Pattern Recognition and Information Processing (PRIP'2021) = Распознавание образов и обработка информации (2021)

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