Svetlana Illarionova
Svetlana Illarionova
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Cited by
Neural-based hierarchical approach for detailed dominant forest species classification by multispectral satellite imagery
S Illarionova, A Trekin, V Ignatiev, I Oseledets
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020
Tree species mapping on sentinel-2 satellite imagery with weakly supervised classification and object-wise sampling
S Illarionova, A Trekin, V Ignatiev, I Oseledets
Forests 12 (10), 1413, 2021
Object-based augmentation for building semantic segmentation: Ventura and santa rosa case study
S Illarionova, S Nesteruk, D Shadrin, V Ignatiev, M Pukalchik, I Oseledets
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
MixChannel: Advanced augmentation for multispectral satellite images
S Illarionova, S Nesteruk, D Shadrin, V Ignatiev, M Pukalchik, I Oseledets
Remote Sensing 13 (11), 2181, 2021
Xtremeaugment: Getting more from your data through combination of image collection and image augmentation
S Nesteruk, S Illarionova, T Akhtyamov, D Shadrin, A Somov, M Pukalchik, ...
IEEE Access 10, 24010-24028, 2022
Estimation of the canopy height model from multispectral satellite imagery with convolutional neural networks
S Illarionova, D Shadrin, V Ignatiev, S Shayakhmetov, A Trekin, ...
IEEE Access 10, 34116-34132, 2022
A survey of computer vision techniques for forest characterization and carbon monitoring tasks
S Illarionova, D Shadrin, P Tregubova, V Ignatiev, A Efimov, I Oseledets, ...
Remote Sensing 14 (22), 5861, 2022
Generation of the nir spectral band for satellite images with convolutional neural networks
S Illarionova, D Shadrin, A Trekin, V Ignatiev, I Oseledets
Sensors 21 (16), 5646, 2021
Augmentation-based methodology for enhancement of trees map detalization on a large scale
S Illarionova, D Shadrin, V Ignatiev, S Shayakhmetov, A Trekin, ...
Remote Sensing 14 (9), 2281, 2022
Benchmark for building segmentation on up-scaled Sentinel-2 imagery
S Illarionova, D Shadrin, I Shukhratov, K Evteeva, G Popandopulo, ...
Remote Sensing 15 (9), 2347, 2023
Pseudo-labeling approach for land cover classification through remote sensing observations with noisy labels
I Mirpulatov, S Illarionova, D Shadrin, E Burnaev
IEEE Access, 2023
Cisa: Context substitution for image semantics augmentation
S Nesteruk, I Zherebtsov, S Illarionova, D Shadrin, A Somov, ...
Mathematics 11 (8), 1818, 2023
Fundamental research and developments in the field of applied artificial intelligence
EV Burnaev, AV Bernstein, VV Vanovskiy, AA Zaytsev, AM Bulkin, ...
Doklady Mathematics 106 (Suppl 1), S14-S22, 2022
Enabling multi-part plant segmentation with instance-level augmentation using weak annotations
S Mukhamadiev, S Nesteruk, S Illarionova, A Somov
Information 14 (7), 380, 2023
Flood extent and volume estimation using remote sensing data
G Popandopulo, S Illarionova, D Shadrin, K Evteeva, N Sotiriadi, ...
Remote Sensing 15 (18), 4463, 2023
PseudoAugment: Enabling Smart Checkout Adoption for New Classes Without Human Annotation
S Nesteruk, S Illarionova, I Zherebzov, C Traweek, N Mikhailova, ...
IEEE Access, 2023
Wildfire spreading prediction using multimodal data and deep neural network approach
D Shadrin, S Illarionova, F Gubanov, K Evteeva, M Mironenko, ...
Scientific Reports 14 (1), 1-17, 2024
Apple Tree Health Recognition Through the Application of Transfer Learning for UAV Imagery
L Dolgaia, S Illarionova, S Nesteruk, I Krivolapov, A Baldycheva, A Somov, ...
2023 IEEE 28th International Conference on Emerging Technologies and Factory …, 2023
Classifying Tree Species in Sentinel-2 Satellite Imagery Using Convolutional Neural Networks
S Illarionova, V Ignatiev, A Trekin, I Oseledets
Environmental Sciences Proceedings 3 (1), 95, 2020
Image Dataset Augmentation
S Nesteruk, S Illarionova, A Somov
Measurements and Instrumentation for Machine Vision, 110, 2024
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