Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
Currently, there is significant progress in the interpretation of remote images of the earth’s surface using various recognition systems. To train these systems, large labeled datasets are required. The creation of such datasets is carried out by experts and is quite a time-consuming task. This paper proposes a method for creating specialized datasets for their use in monitoring the state of agricultural lands undergoing degradation. The method allows you to automate the process of creating such datasets The datasets are generated from freely available data obtained by the Sentinel satellites as part of the European Copernicus space program. The method is based on the processing of the results of the preliminary classification of images of the earth’s cover, previously produced by the Sentinel Hub service.
Язык оригинала | английский |
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Название основной публикации | Computational Science and Its Applications – ICCSA 2021 |
Подзаголовок основной публикации | 21st International Conference, Cagliari, Italy, September 13–16, 2021, Proceedings, Part VIII |
Редакторы | O Gervasi, B Murgante, S Misra, C Garau, Blecic, D Taniar, BO Apduhan, AMAC Rocha, E Tarantino, CM Torre |
Издатель | Springer Nature |
Страницы | 406-416 |
Число страниц | 11 |
ISBN (печатное издание) | 9783030870096 |
DOI | |
Состояние | Опубликовано - 2021 |
Событие | 21st International Conference on Computational Science and Its Applications, ICCSA 2021 - Virtual, Online, Италия Продолжительность: 13 сен 2021 → 16 сен 2021 |
Название | Lecture Notes in Computer Science |
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Издатель | SPRINGER INTERNATIONAL PUBLISHING AG |
Том | 12956 |
ISSN (печатное издание) | 0302-9743 |
конференция | 21st International Conference on Computational Science and Its Applications, ICCSA 2021 |
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Сокращенное название | ICCSA 2021 |
Страна/Tерритория | Италия |
Город | Virtual, Online |
Период | 13/09/21 → 16/09/21 |
ID: 86276268