Challenges of Crop Classification from Satellite Imagery with Eurocrops Dataset
Ładowanie...
Data
2023
Autorzy
Tytuł czasopisma
ISSN czasopisma
Tytuł tomu
Wydawca
Wydawnictwo Politechniki Łódzkiej
Lodz University of Technology Press
Lodz University of Technology Press
Abstrakt
Crops monitoring and classification on a nationwide level provide
important information for sustainable agricultural management, food
security, and policy-making. Recent technological advancements, followed
by Earth observation programmes like Copernicus, have provided plenty of
publicly available multispectral data. Combining these data with field annotations
allows for continuous crop monitoring from publicly available data.
In this paper, we present a solution for crop classification to determine crop
type from Sentinel-2 multispectral data, utilizing machine learning techniques.
Apart from presenting initial results, we discuss the challenges of
crop classification on a Eurocrops dataset and further research directions.
Opis
Słowa kluczowe
computer vision, multispectral imaging, remote sensing, crop classification, wizja komputerowa, obrazowanie wielospektralne, teledetekcja, klasyfikacja upraw
Cytowanie
Aszkowski P., Kraft M., Challenges of Crop Classification from Satellite Imagery with Eurocrops Dataset. W: Progress in Polish Artificial Intelligence Research 4, Wojciechowski A. (Ed.), Lipiński P. (Ed.)., Seria: Monografie Politechniki Łódzkiej Nr. 2437, Wydawnictwo Politechniki Łódzkiej, Łódź 2023, s. 25-29, ISBN 978-83-66741-92-8, doi: 10.34658/9788366741928.2.