Anastasiia Safonova

According to our database, Anastasiia Safonova authored at least 7 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Deep Learning Improves Point Density in PS-InSAR Data Toward Finer-Scale Land Surface Displacement Detection.

Anastasiia Safonova, Masahiro Ryo

IEEE Access, 2024

2023

Ten deep learning techniques to address small data problems with remote sensing.

Anastasiia Safonova, Gohar Ghazaryan, Stefan Stiller, Magdalena Main-Knorn, Claas Nendel, Masahiro Ryo

Int. J. Appl. Earth Obs. Geoinformation, December, 2023

Transfer Learning for Russian Handwriting Recognition.

Andrey Levkov, Dmitry I. Kaplun, Anastasiia Safonova

Proceedings of the 46th International Conference on Telecommunications and Signal Processing, 2023

2022

Detection of Norway Spruce Trees (Picea Abies) Infested by Bark Beetle in UAV Images Using YOLOs Architectures.

Anastasiia Safonova, Yousif Hamad, Anna Alekhina, Dmitry I. Kaplun

IEEE Access, 2022

ANew Convolutional Neural Network for Recognizing Handwritten Letters of the Russian Alphabet.

Anastasiia Safonova, Andrey Levkov, Dmitry I. Kaplun

Proceedings of the 45th International Conference on Telecommunications and Signal Processing, 2022

2021

Olive Tree Biovolume from UAV Multi-Resolution Image Segmentation with Mask R-CNN.

Anastasiia Safonova, Emilio Guirado, Yuriy Maglinets, Domingo Alcaraz-Segura, Siham Tabik

Sensors, 2021

2019

Detection of Fir Trees (<i>Abies sibirica</i>) Damaged by the Bark Beetle in Unmanned Aerial Vehicle Images with Deep Learning.

Anastasiia Safonova, Siham Tabik, Domingo Alcaraz-Segura, Alexey Rubtsov, Yuriy Maglinets, Francisco Herrera

Remote. Sens., 2019