| Satellite imagery analysis for operational damage assessment in emergency situations G Novikov, A Trekin, G Potapov, V Ignatiev, E Burnaev Business Information Systems: 21st International Conference, BIS 2018 …, 2018 | 45 | 2018 |
| 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 | 34 | 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 | 28 | 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 | 28 | 2021 |
| Analysis of large long-term remote sensing image sequence for agricultural yield forecasting A Murynin, K Gorokhovskiy, V Bondur, V Ignatiev Proceeding of the 4th International Workshop on Image Mining. Theory and …, 2013 | 28 | 2013 |
| 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 | 27 | 2022 |
| Retrieving sea-wave spectra using satellite-imagery spectra in a wide range of frequencies VG Bondur, VA Dulov, AB Murynin, VY Ignatiev Izvestiya, Atmospheric and Oceanic Physics 52, 637-648, 2016 | 27 | 2016 |
| 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 | 26 | 2022 |
| 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 | 23 | 2021 |
| 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 | 21 | 2021 |
| Targeted change detection in remote sensing images V Ignatiev, A Trekin, V Lobachev, G Potapov, E Burnaev Eleventh International Conference on Machine Vision (ICMV 2018) 11041, 677-682, 2019 | 21 | 2019 |
| 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 | 15 | 2022 |
| Detection of the soil degradation areas on multispectral images by measuring the response of vegetation to salinity A Murynin, A Rihter, V Ignatiev Proceeding of thr 11th International Conference on Pattern Recognition and …, 2013 | 14 | 2013 |
| Satellite imagery analysis for operational damage assessment in Emergency situations A Trekin, G Novikov, G Potapov, V Ignatiev, E Burnaev arXiv preprint arXiv:1803.00397, 2018 | 12 | 2018 |
| Constructing a hybrid recommender system VY Ignat’ev, DV Lemtyuzhnikova, DI Rul’, IL Ryabov Journal of Computer and Systems Sciences International 57, 921-926, 2018 | 10 | 2018 |
| 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 | 6 | 2022 |
| Deep neural networks for determining the parameters of buildings from single-shot satellite imagery AN Trekin, VY Ignatiev, PY Yakubovskii Journal of Computer and Systems Sciences International 59, 755-767, 2020 | 6 | 2020 |
| Trainable method for predicting characteristics of land surface objects A Murynin, K Gorokhovskiy, V Ignatiev Proceedings of the IADIS International Conference on Computer Graphics …, 2013 | 6 | 2013 |
| Object-based augmentation improves quality of remote sensing semantic segmentation S Illarionova, S Nesteruk, D Shadrin, V Ignatiev, M Pukalchik, I Oseledets arXiv preprint arXiv:2105.05516, 2021 | 5 | 2021 |
| Yu. Metod ob" ektno-orientirovannoi klassifikatsii ob" ektov podstilayushchei poverkhnosti v zadache aerokosmicheskogo monitoringa sostoyaniya impaktnykh raionov Arktiki … AA Gurchenkov, AB Murynin, AN Trekin, V Ignat'ev doi 10, 1812-3368, 2017 | 5 | 2017 |
Evgeny BurnaevSkoltech, Full Professor, Head of Applied AI center, Head of research group, AIRIПодтвержден адрес электронной почты в домене skoltech.ru
