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ONLINE: ISSN 2710-1681

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Convolutional neural networks in tasks of agricultural vegetation state monitoring on aerial images

Ганченко В.В.1, Дудкін А.А.2
1 Об’єднаний інститут проблем інформатики НАН Білорусі
2 United Institute of Informatics Problems of the National Academy of Sciences of Belarus

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УДК: 004.93'1
Мова публікації: Російська
Stuc. intelekt. 2018; 23; (3):103-110

Анотація: In the article a recognition task of agricultural vegetation using aerial images of different spatial resolution is considered. An image classifier is proposed that allows classifying image segments into three classes: “healthy vegeta-tion”, “diseased vegetation” and “soil”. This classifier is implemented by two convolution neural networks that previ-ously form two classes of vegetation state: “healthy vegetation”-“diseased vegetation” and “vegetation”-“soil”.

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Посилання:

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