E-LIB Suche - Ergebnisse für: Antropov, Oleg

1

Forest Disturbance Detection via Self-Supervised and Transf..:

Kuzu, Rdvan Salih ; Antropov, Oleg ; Molinier, Matthieu...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17 (2024) - p. 4751-4767 , 2024

Link: https://doi.org/10.1109/..

2

Enhancing Hyrcanian Forest Height and Aboveground Biomass P..:

Ronoud, Ghasem ; Darvishsefat, Ali A. ; Poorazimy, Maryam...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17 (2024) - p. 8409-8423 , 2024

Link: https://doi.org/10.1109/..

3

Sentinel-1 Time Series for Predicting Growing Stock Volume ..:

Ge, Shaojia ; Tomppo, Erkki ; Rauste, Yrjö...
Remote Sensing. 15 (2023) 14 - p. 3489 , 2023

Link: https://doi.org/10.3390/..

4

A Novel Semisupervised Contrastive Regression Framework for..:

Ge, Shaojia ; Gu, Hong ; Su, Weimin..
IEEE Geoscience and Remote Sensing Letters. 20 (2023) - p. 1-5 , 2023

Link: https://doi.org/10.1109/..

5

Semi-Supervised Deep Learning Representations in Earth Obse..:

, In: IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium,

Antropov, Oleg ; Molinier, Matthieu ; Kuzu, Ridvan Salih... - p. 650-653 , 2023

Link: https://doi.org/10.1109/..

6

Deep Learning Model Transfer in Forest Mapping Using Multi-..:

Ge, Shaojia ; Antropov, Oleg ; Häme, Tuomas..
Remote Sensing. 15 (2023) 21 - p. 5152 , 2023

Link: https://doi.org/10.3390/..

7

Improved LSTM Model for Boreal Forest Height Mapping Using ..:

Ge, Shaojia ; Su, Weimin ; Gu, Hong...
Remote Sensing. 14 (2022) 21 - p. 5560 , 2022

Link: https://doi.org/10.3390/..

8

Intercomparison of Earth Observation Data and Methods for F..:

, In: IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium,

Antropov, Oleg ; Miettinen, Jukka ; Hame, Tuomas... - p. 5777-5780 , 2022

Link: https://doi.org/10.1109/..

9

Improved Semisupervised UNet Deep Learning Model for Forest..:

Ge, Shaojia ; Gu, Hong ; Su, Weimin..
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15 (2022) - p. 5776-5787 , 2022

Link: https://doi.org/10.1109/..

10

Deep Learning Models in Forest Mapping Using Multitemporal ..:

, In: IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium,

Ge, Shaojia ; Gu, Hong ; Su, Weimin... - p. 5688-5691 , 2022

Link: https://doi.org/10.1109/..

11

Detection of Forest Windstorm Damages with Multitemporal SA..:

Tomppo, Erkki ; Ronoud, Ghasem ; Antropov, Oleg..
Remote Sensing. 13 (2021) 3 - p. 383 , 2021

Link: https://doi.org/10.3390/..

12

Mapping Forest Disturbance Due to Selective Logging in the ..:

Antropov, Oleg ; Rauste, Yrjö ; Praks, Jaan..
Remote Sensing. 13 (2021) 4 - p. 740 , 2021

Link: https://doi.org/10.3390/..

13

Wide-Area Land Cover Mapping With Sentinel-1 Imagery Using ..:

Šćepanović, Sanja ; Antropov, Oleg ; Laurila, Pekka...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14 (2021) - p. 10357-10374 , 2021

Link: https://doi.org/10.1109/..

14

TanDEM-X multiparametric data features in sea ice classific..:

Marbouti, Marjan ; Antropov, Oleg ; Praks, Jaan...
Geo-spatial Information Science. 24 (2020) 2 - p. 313-332 , 2020

Link: https://doi.org/10.1080/..

15

Vital Sign Monitoring Using FMCW Radar in Various Sleeping ..:

Turppa, Emmi ; Kortelainen, Juha M. ; Antropov, Oleg.
Sensors. 20 (2020) 22 - p. 6505 , 2020

Link: https://doi.org/10.3390/..