3 citations · 4 across the 2 of their papers we have counts for
2 papers
eess.IV2020★ 3 cited
A single image deep learning approach to restoration of corrupted remote sensing products
Anna Petrovskaia, Raghavendra B. Jana, Ivan V. Oseledets
Remote sensing images are used for a variety of analyses, from agricultural monitoring, to disaster relief, to resource planning, among others. The images can be corrupted due to a…
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…