Oleg Antropov

According to our database, Oleg Antropov authored at least 54 papers between 2011 and 2024.

Collaborative distances:

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

2024

Enhancing Hyrcanian Forest Height and Aboveground Biomass Predictions: A Synergistic Use of TanDEM-X InSAR Coherence, Sentinel-1, and Sentinel-2 Data.

Ghasem Ronoud, Ali Asghar Darvishsefat, Maryam Poorazimy, Erkki Tomppo, Oleg Antropov, Jaan Praks

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Forest Disturbance Detection via Self-Supervised and Transfer Learning With Sentinel-1&2 Images.

Ridvan Salih Kuzu, Oleg Antropov, Matthieu Molinier, Corneliu Octavian Dumitru, Sudipan Saha, Xiaoxiang Zhu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

2023

Deep Learning Model Transfer in Forest Mapping Using Multi-Source Satellite SAR and Optical Images.

Shaojia Ge, Oleg Antropov, Tuomas Häme, Ronald E. McRoberts, Jukka Miettinen

Remote. Sens., November, 2023

Sentinel-1 Time Series for Predicting Growing Stock Volume of Boreal Forest: Multitemporal Analysis and Feature Selection.

Shaojia Ge, Erkki Tomppo, Yrjö Rauste, Ronald E. McRoberts, Jaan Praks, Hong Gu, Weimin Su, Oleg Antropov

Remote. Sens., July, 2023

A Novel Semisupervised Contrastive Regression Framework for Forest Inventory Mapping With Multisensor Satellite Data.

Shaojia Ge, Hong Gu, Weimin Su, Anne Lönnqvist, Oleg Antropov

IEEE Geosci. Remote. Sens. Lett., 2023

Semi-Supervised Deep Learning Representations in Earth Observation Based Forest Management.

Oleg Antropov, Matthieu Molinier, Ridvan Salih Kuzu, Lloyd H. Hughes, Marc Rußwurm, Devis Tuia, Corneliu Octavian Dumitru, Shaojia Ge, Sudipan Saha, Xiao Xiang Zhu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

Wide-area Sentinel-1 SAR mosaics patches over Finland for semantic segmentation.

Oleg Antropov, Sanja Scepanovic, Yrjö Rauste

Dataset, May, 2022

Improved Semisupervised UNet Deep Learning Model for Forest Height Mapping With Satellite SAR and Optical Data.

Shaojia Ge, Hong Gu, Weimin Su, Jaan Praks, Oleg Antropov

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Improved LSTM Model for Boreal Forest Height Mapping Using Sentinel-1 Time Series.

Shaojia Ge, Weimin Su, Hong Gu, Yrjö Rauste, Jaan Praks, Oleg Antropov

Remote. Sens., 2022

Deep Learning Models in Forest Mapping Using Multitemporal SAR and Optical Satellite Data.

Shaojia Ge, Hong Gu, Weimin Su, Jaan Praks, Anne Lönnqvist, Oleg Antropov

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Intercomparison of Earth Observation Data and Methods for Forest Mapping in the Context of Forest Carbon Monitoring.

Oleg Antropov, Jukka Miettinen, Tuomas Häme, Yrjö Rauste, Lauri Seitsonen, Ronald E. McRoberts, Maurizio Santoro, Oliver Cartus, Natalia Malaga Duran, Martin Herold, Matteo Pardini, Kostas Papathanassiou, Irena Hajnsek

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021

Wide-Area Land Cover Mapping With Sentinel-1 Imagery Using Deep Learning Semantic Segmentation Models.

Sanja Scepanovic, Oleg Antropov, Pekka Laurila, Yrjö Rauste, Vladimir Ignatenko, Jaan Praks

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Detection of Forest Windstorm Damages with Multitemporal SAR Data - A Case Study: Finland.

Erkki Tomppo, Ghasem Ronoud, Oleg Antropov, Harri Hytönen, Jaan Praks

Remote. Sens., 2021

Mapping Forest Disturbance Due to Selective Logging in the Congo Basin with RADARSAT-2 Time Series.

Oleg Antropov, Yrjö Rauste, Jaan Praks, Frank Martin Seifert, Tuomas Häme

Remote. Sens., 2021

TanDEM-X multiparametric data features in sea ice classification over the Baltic sea.

Marjan Marbouti, Oleg Antropov, Jaan Praks, Patrick Eriksson, Vahid Arabzadeh, Eero Rinne, Matti Leppäranta

Geo spatial Inf. Sci., 2021

Mapping Forest Thinning, Systemic and Selective Logging Operations Using Various Imaging Modes of X-Band SAR Images.

Oleg Antropov, Anne Lönnqvist, Yrjö Rauste, Kimmo Kortelainen, Tuomas Häme

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020

Sentinel-1 InSAR Coherence for Land Cover Mapping: A Comparison of Multiple Feature-Based Classifiers.

Alexander W. Jacob, Claudia Notarnicola, Gopika Suresh, Oleg Antropov, Shaojia Ge, Jaan Praks, Yifang Ban, Eric Pottier, Jordi J. Mallorquí, Javier Duro, Marcus E. Engdahl, Fernando Vicente-Guijalba, Carlos López-Martínez, Juan M. Lopez-Sanchez, Marius Litzinger, Harald Kristen, Alejandro Mestre-Quereda, Dariusz Ziolkowski, Marco Lavalle

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Vital Sign Monitoring Using FMCW Radar in Various Sleeping Scenarios.

Emmi Turppa, Juha M. Kortelainen, Oleg Antropov, Tero Kiuru

Sensors, 2020

Evaluating Landfast Sea Ice Ridging near UtqiaġVik Alaska Using TanDEM-X Interferometry.

Marjan Marbouti, Leif E. B. Eriksson, Dyre Oliver Dammann, Denis Demchev, Joshua Jones, Anders Berg, Oleg Antropov

Remote. Sens., 2020

ICEYE Microsatellite SAR Constellation Status Update: Evaluation of First Commercial Imaging Modes.

Vladimir Ignatenko, Pekka Laurila, Andrea Radius, Leszek Lamentowski, Oleg Antropov, Darren Muff

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Predicting Growing Stock Volume of Boreal Forests Using Very Long Time Series of Sentinel-1 Data.

Shaojia Ge, Erkki Tomppo, Yrjö Rauste, Weimin Su, Hong Gu, Jaan Praks, Oleg Antropov

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Classification of Wide-Area SAR Mosaics: Deep Learning Approach for Corine Based Mapping of Finland Using Multitemporal Sentinel-1 Data.

Oleg Antropov, Yrjö Rauste, Sanja Scepanovic, Vladimir Ignatenko, Anne Lönnqvist, Jaan Praks

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

Cropland Classification Using Sentinel-1 Time Series: Methodological Performance and Prediction Uncertainty Assessment.

Erkki Tomppo, Oleg Antropov, Jaan Praks

Remote. Sens., 2019

Boreal Forest Snow Damage Mapping Using Multi-Temporal Sentinel-1 Data.

Erkki Tomppo, Oleg Antropov, Jaan Praks

Remote. Sens., 2019

Wide-Area Land Cover Mapping with Sentinel-1 Imagery using Deep Learning Semantic Segmentation Models.

Sanja Scepanovic, Oleg Antropov, Pekka Laurila, Vladimir Ignatenko, Jaan Praks

CoRR, 2019

Deep Recurrent Neural Networks for Land-Cover Classification Using Sentinel-1 INSAR Time Series.

Shaojia Ge, Oleg Antropov, Weimin Su, Hong Gu, Jaan Praks

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018

Forest Height Estimation from TanDEM-X images with Semi-Empirical Coherence Models.

Jaan Praks, Oleg Antropov, Aire Olesk, Kaupo Voormansik

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Automated SEA ICE Classification Over the Baltic SEA using Multiparametric Features of Tandem-X Insar Images.

Marjan Marbouti, Oleg Antropov, Patrick Eriksson, Jaan Praks, Vahid Arabzadeh, Eero Rinne, Matti Leppdar Nta

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Wet Snow Depth from Tandem-X Single-Pass Insar Dem Differencing.

Silvan Leinss, Oleg Antropov, Juho Vehvilainen, Juha Lemmetyinen, Irena Hajnsek, Jaan Praks

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Multi-Sensor Sar Data for Improved Modeling of Microwave Brightness Temperature over Boreal Forest.

Oleg Antropov, Jaakko Seppänen, Martti Hallikainen, Jaan Praks, Thomas Jagdhuber

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Tropical Forest Tree Height and Above Ground Biomass Mapping in Nepal Using Tandem-X and ALOS PALSAR Data.

Oleg Antropov, Yrjö Rauste, Katri Tegel, Yamuna Baral, Virpi Junttila, Tuomo Kauranne, Tuomas Häme, Jaan Praks

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017

A Study of Landfast Ice with Sentinel-1 Repeat-Pass Interferometry over the Baltic Sea.

Marjan Marbouti, Jaan Praks, Oleg Antropov, Eero Rinne, Matti Leppäranta

Remote. Sens., 2017

Polarimetric ALOS PALSAR Time Series in Mapping Biomass of Boreal Forests.

Oleg Antropov, Yrjö Rauste, Tuomas Häme, Jaan Praks

Remote. Sens., 2017

Improved Characterization of Forest Transmissivity Within the L-MEB Model Using Multisensor SAR Data.

Jaakko Seppänen, Oleg Antropov, Thomas Jagdhuber, Martti Hallikainen, Janne Heiskanen, Jaan Praks

IEEE Geosci. Remote. Sens. Lett., 2017

PHYSICS-based retrieval of scattering albedo and vegetation optical depth using multi-sensor data integration.

Thomas Jagdhuber, Martin J. Baur, Moritz Link, Maria Piles, Dara Entekhabi, Carsten Montzka, Jaakko Seppänen, Oleg Antropov, Jaan Praks, Alexander Löw

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016

Monitoring of Agricultural Grasslands With Time Series of X-Band Repeat-Pass Interferometric SAR.

Karlis Zalite, Oleg Antropov, Jaan Praks, Kaupo Voormansik, Mart Noorma

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Interferometric SAR Coherence Models for Characterization of Hemiboreal Forests Using TanDEM-X Data.

Aire Olesk, Jaan Praks, Oleg Antropov, Karlis Zalite, Tauri Arumäe, Kaupo Voormansik

Remote. Sens., 2016

Improving SMOS soil moisture algorithm performance in forested areas with multisensor SAR data.

Jaakko Seppänen, Jaan Praks, Oleg Antropov

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Building blocks for semiempirical models for forest parameter extraction from interferometric X-band SAR images.

Jaan Praks, Aire Olesk, Kaupo Voormansik, Oleg Antropov, Karlis Zalite, Mart Noorma

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Mapping forest disturbance using long time series of Sentinel-1 data: Case studies over boreal and tropical forests.

Oleg Antropov, Yrjö Rauste, Anne Vaananen, Teemu Mutanen, Tuomas Häme

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015

Enabling intelligent copernicus services for carbon and water balance modeling of boreal forest ecosystems - North state.

Tuomas Häme, Teemu Mutanen, Yrjö Rauste, Oleg Antropov, Matthieu Molinier, Shaun Quegan, Euripidis Kantzas, Annikki Mäkelä, Francesco Minunno, Jón Atli Benediktsson, Nicola Falco, Kolbeinn Árnason, Rune Storvold, Jörg Haarpaintner, Vladimir Elsakov, Jussi Rasinmäki

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Selective logging of tropical forests observed using L- and C-band SAR satellite data.

Oleg Antropov, Yrjö Rauste, Frank Martin Seifert, Tuomas Häme

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Combining TanDEM-X and Landsat 8 data for improved mapping of forest biomass.

Oleg Antropov, Yrjö Rauste, Tuomas Häme, Jaan Praks

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014

Land Cover and Soil Type Mapping From Spaceborne PolSAR Data at L-Band With Probabilistic Neural Network.

Oleg Antropov, Yrjö Rauste, Heikki Astola, Jaan Praks, Tuomas Häme, Martti T. Hallikainen

IEEE Trans. Geosci. Remote. Sens., 2014

Flood Mapping With TerraSAR-X in Forested Regions in Estonia.

Kaupo Voormansik, Jaan Praks, Oleg Antropov, Jüri Jagomägi, Karlis Zalite

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

Towards detecting mowing of agricultural grasslands from multi-temporal COSMO-SkyMed data.

Karlis Zalite, Kaupo Voormansik, Jaan Praks, Oleg Antropov, Mart Noorma

Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2013

Improved Mapping of Tropical Forests With Optical and SAR Imagery, Part II: Above Ground Biomass Estimation.

Tuomas Häme, Yrjö Rauste, Oleg Antropov, Heikki Ahola, Jorma Kilpi

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013

Improved Mapping of Tropical Forests With Optical and SAR Imagery, Part I: Forest Cover and Accuracy Assessment Using Multi-Resolution Data.

Tuomas Häme, Jorma Kilpi, Heikki Ahola, Yrjö Rauste, Oleg Antropov, Miina Rautiainen, Laura Sirro, Sengthong Bounpone

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013

Stand-Level Stem Volume of Boreal Forests From Spaceborne SAR Imagery at L-Band.

Oleg Antropov, Yrjö Rauste, Heikki Ahola, Tuomas Häme

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013

2012

LIDAR-Aided SAR Interferometry Studies in Boreal Forest: Scattering Phase Center and Extinction Coefficient at X- and L-Band.

Jaan Praks, Oleg Antropov, Martti T. Hallikainen

IEEE Trans. Geosci. Remote. Sens., 2012

PolSAR Mosaic Normalization for Improved Land-Cover Mapping.

Oleg Antropov, Yrjö Rauste, Anne Lönnqvist, Tuomas Häme

IEEE Geosci. Remote. Sens. Lett., 2012

Boreal forest tree height estimation from interferometric TanDEM-X images.

Jaan Praks, Martti Hallikainen, Oleg Antropov, Daniel Molina

Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Peatland delineation under forest canopy with polsar data using model based decomposition technique.

Oleg Antropov, Yrjö Rauste, Jaan Praks, Martti Hallikainen, Tuomas Häme

Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2011

Volume Scattering Modeling in PolSAR Decompositions: Study of ALOS PALSAR Data Over Boreal Forest.

Oleg Antropov, Yrjö Rauste, Tuomas Häme

IEEE Trans. Geosci. Remote. Sens., 2011