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Mykola Lavrenyuk
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2020 – today
- 2024
- [c30]Jaime Spencer, Fabio Tosi, Matteo Poggi, Ripudaman Singh Arora, Chris Russell, Simon Hadfield, Richard Bowden, GuangYuan Zhou, ZhengXin Li, Qiang Rao, YiPing Bao, Xiao Liu, Dohyeong Kim, Jinseong Kim, Myunghyun Kim, Mykola Lavreniuk, Rui Li, Qing Mao, Jiang Wu, Yu Zhu, Jinqiu Sun, Yanning Zhang, Suraj Patni, Aradhye Agarwal, Chetan Arora, Pihai Sun, Kui Jiang, Gang Wu, Jian Liu, Xianming Liu, Junjun Jiang, Xidan Zhang, Jianing Wei, Fangjun Wang, Zhiming Tan, Jiabao Wang, Albert Luginov, Muhammad Shahzad, Seyed Hosseini, Aleksander Trajcevski, James H. Elder:
The Third Monocular Depth Estimation Challenge. CVPR Workshops 2024: 1-14 - [i3]Mykola Lavreniuk:
SPIdepth: Strengthened Pose Information for Self-supervised Monocular Depth Estimation. CoRR abs/2404.12501 (2024) - [i2]Jaime Spencer, Fabio Tosi, Matteo Poggi, Ripudaman Singh Arora, Chris Russell
, Simon Hadfield, Richard Bowden, GuangYuan Zhou, ZhengXin Li, Qiang Rao, YiPing Bao, Xiao Liu, Dohyeong Kim, Jinseong Kim, Myunghyun Kim, Mykola Lavreniuk, Rui Li, Qing Mao, Jiang Wu, Yu Zhu, Jinqiu Sun, Yanning Zhang, Suraj Patni, Aradhye Agarwal, Chetan Arora, Pihai Sun, Kui Jiang, Gang Wu, Jian Liu, Xianming Liu, Junjun Jiang, Xidan Zhang, Jianing Wei, Fangjun Wang, Zhiming Tan, Jiabao Wang, Albert Luginov, Muhammad Shahzad, Seyed Hosseini, Aleksander Trajcevski, James H. Elder:
The Third Monocular Depth Estimation Challenge. CoRR abs/2404.16831 (2024) - 2023
- [c29]Mykola Lavreniuk, Leonid Shumilo, Alla Lavreniuk:
Generative Adversarial Networks for the Satellite Data Super Resolution Based on the Transformers with Attention. IGARSS 2023: 6294-6297 - [i1]Mykola Lavreniuk, Shariq Farooq Bhat, Matthias Müller, Peter Wonka:
EVP: Enhanced Visual Perception using Inverse Multi-Attentive Feature Refinement and Regularized Image-Text Alignment. CoRR abs/2312.08548 (2023) - 2022
- [c28]Mykola Lavreniuk, Nataliia Kussul, Andrii Shelestov, Alla Lavrenyuk, Leonid Shumilo:
Super Resolution Approach for the Satellite Data Based on the Generative Adversarial Networks. IGARSS 2022: 1095-1098 - 2021
- [c27]Leonid Shumilo, Mykola Lavreniuk, Nataliia Kussul, Bella Shevchuk:
Automatic Deforestation Detection based on the Deep Learning in Ukraine. IDAACS 2021: 337-342 - [c26]Leonid Shumilo, Nataliia Kussul, Mykola Lavreniuk:
U-Net Model for Logging Detection Based on the Sentinel-1 and Sentinel-2 Data. IGARSS 2021: 4680-4683 - [c25]Andrii Shelestov, Hanna Yailymova
Extension of Copernicus Urban Atlas to Non-European Countries. IGARSS 2021: 6789-6792 - 2020
- [j8]Ian McCallum, Carsten Montzka
Developing food, water and energy nexus workflows. Int. J. Digit. Earth 13(2): 299-308 (2020) - [j7]Nataliia Kussul
A workflow for Sustainable Development Goals indicators assessment based on high-resolution satellite data. Int. J. Digit. Earth 13(2): 309-321 (2020) - [j6]Andrii Shelestov, Mykola Lavreniuk
Cloud Approach to Automated Crop Classification Using Sentinel-1 Imagery. IEEE Trans. Big Data 6(3): 572-582 (2020) - [c24]Nataliia Kussul, Andrii Shelestov, Bohdan Yailymov
Crop monitoring technology based on time series of satellite imagery. DESSERT 2020: 346-350 - [c23]Yuliia Bilokonska, Hanna Yailymova
Losses Assessment for Winter Crops Based on Satellite Data and Fuzzy Logic. IDAACS-SWS 2020: 1-5 - [c22]Leonid Shumilo, Bohdan Yailymov
Remote Sensing Approaches for Deforestation Identification in Ukraine. IDAACS-SWS 2020: 1-4 - [c21]Nataliia Kussul, Andrii Shelestov, Hanna Yailymova, Bohdan Yailymov
Satellite Agricultural Monitoring in Ukraine at Country Level: World Bank Project. IGARSS 2020: 1050-1053 - [c20]Nataliia Kussul, Mykola Lavreniuk, Leonid Shumilo:
Deep Recurrent Neural Network for Crop Classification Task Based on Sentinel-1 and Sentinel-2 Imagery. IGARSS 2020: 6914-6917
2010 – 2019
- 2019
- [j5]François Waldner
Roadside collection of training data for cropland mapping is viable when environmental and management gradients are surveyed. Int. J. Appl. Earth Obs. Geoinformation 80: 82-93 (2019) - [c19]Nataliia Kussul, Andrii Shelestov, Mykola Lavreniuk, Andrii Kolotii
Land Cover and Land Use Monitoring Based on Satellite Data within World Bank Project. DESSERT 2019: 127-130 - [c18]Nataliia Kussul, Mykola Lavreniuk, Leonid Shumilo, Andrii Kolotii
Nexus Approach for Calculating SDG Indicator 2.4.1 Using Remote Sensing and Biophysical Modeling. IGARSS 2019: 6425-6428 - 2018
- [j4]Ioannis Manakos
Comparison of Global and Continental Land Cover Products for Selected Study Areas in South Central and Eastern European Region. Remote. Sens. 10(12): 1967 (2018) - [c17]Leonid Shumilo, Andrii Kolotii
Use of Land Cover Maps as Indicators for Achieving Sustainable Development Goals. IGARSS 2018: 830-833 - [c16]Andrii Shelestov, Andrii Kolotii
Air Quality Monitoring in Urban Areas Using in-Situ and Satellite Data Within Era-Planet Project. IGARSS 2018: 1668-1671 - [c15]Mykola Lavreniuk, Nataliia Kussul, Alexei Novikov:
Deep Learning Crop Classification Approach Based on Sparse Coding of Time Series of Satellite Data. IGARSS 2018: 4812-4815 - [c14]Mykola Lavreniuk, Nataliia Kussul, Andrii Shelestov, Olena Dubovyk, Fabian Löw:
Object-Based Postprocessing Method for Crop Classification MAPS. IGARSS 2018: 7058-7061 - 2017
- [j3]Nataliia Kussul
Deep Learning Classification of Land Cover and Crop Types Using Remote Sensing Data. IEEE Geosci. Remote. Sens. Lett. 14(5): 778-782 (2017) - [c13]Nataliia Kussul
Land degradation estimation from global and national satellite based datasets within UN program. IDAACS 2017: 383-386 - [c12]Sergey K. Abramov
Speckle reducing for Sentinel-1 SAR data. IGARSS 2017: 2353-2356 - [c11]Andrii Shelestov, Mykola Lavreniuk, Nataliia Kussul
Large scale crop classification using Google earth engine platform. IGARSS 2017: 3696-3699 - [c10]Nataliia Kussul
Cropland productivity assessment for Ukraine based on time series of optical satellite images. IGARSS 2017: 5007-5010 - [c9]Nataliia Kussul
Sentinel-2 for agriculture national demonstration in ukraine: Results and further steps. IGARSS 2017: 5842-5845 - 2016
- [j2]Nataliia Kussul
Parcel-Based Crop Classification in Ukraine Using Landsat-8 Data and Sentinel-1A Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(6): 2500-2508 (2016) - [j1]Sergii Skakun
Efficiency Assessment of Multitemporal C-Band Radarsat-2 Intensity and Landsat-8 Surface Reflectance Satellite Imagery for Crop Classification in Ukraine. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(8): 3712-3719 (2016) - [c8]Nataliia Kussul
Deep learning approach for large scale land cover mapping based on remote sensing data fusion. IGARSS 2016: 198-201 - [c7]Mykola Lavreniuk, Nataliia Kussul
Validation methods for regional retrospective high resolution land cover for Ukraine. IGARSS 2016: 4502-4505 - [c6]Nataliia Kussul
Along the season crop classification in Ukraine based on time series of optical and SAR images using ensemble of neural network classifiers. IGARSS 2016: 7145-7148 - 2015
- [c5]Nataliia Kussul, Andrii Shelestov, Ruslan Basarab, Sergii Skakun, Olga Kussul, Mykola Lavrenyuk:
Geospatial Intelligence and Data Fusion Techniques for Sustainable Development Problems. ICTERI 2015: 196-203 - [c4]Nataliia Kussul
Parcel based classification for agricultural mapping and monitoring using multi-temporal satellite image sequences. IGARSS 2015: 165-168 - [c3]Andrii Shelestov
Mapping of biophysical parameters based on high resolution EO imagery for JECAM test site in Ukraine. IGARSS 2015: 1733-1736 - [c2]Mykola Lavreniuk, Nataliia Kussul
Regional retrospective high resolution land cover for Ukraine: Methodology and results. IGARSS 2015: 3965-3968 - 2014
- [c1]Oleksii M. Kravchenko, Mykola Lavrenyuk, Nataliia Kussul
Orthorectification of Sich-2 satellite images using elastic models. IGARSS 2014: 2281-2284
Coauthor Index
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