4 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 4 cited
Challenges in data-based geospatial modeling for environmental research and practice
Diana Koldasbayeva, Polina Tregubova, Mikhail Gasanov +3
With the rise of electronic data, particularly Earth observation data, data-based geospatial modelling using machine learning (ML) has gained popularity in environmental research.…
cs.CV2020★ 1 cited
Bayesian aggregation improves traditional single image crop classification approaches
Ivan Matvienko, Mikhail Gasanov, Anna Petrovskaia +3
Machine learning (ML) methods and neural networks (NN) are widely implemented for crop types recognition and classification based on satellite images. However, most of these studie…