Autonomous Sensing using Satellites, Multicopters, Sensors and Actuators

Project: Business Finland project

2023
A Novel Semisupervised Contrastive Regression Framework for Forest Inventory Mapping With Multisensor Satellite Data
Ge, S., Gu, H., Su, W., Lönnqvist, A. & Antropov, O., 31 May 2023, In: IEEE Geoscience and Remote Sensing Letters. 20, 5 p., 2502705.
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
7 Link opens in a new tab Citations (Scopus)
2022
Deep Learning Models in Forest Mapping Using Multitemporal SAR and Optical Satellite Data
Ge, S., Gu, H., Su, W., Praks, J., Lonnqvist, A. & Antropov, O., 28 Sept 2022, IGARSS 2022: 2022 IEEE International Geoscience and Remote Sensing Symposium. IEEE Institute of Electrical and Electronic Engineers, p. 5688-5691 (IEEE International Geoscience and Remote Sensing Symposium Proceedings, Vol. 2022-July).
Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
Improved LSTM Model for Boreal Forest Height Mapping Using Sentinel-1 Time Series
Ge, S., Su, W., Gu, H., Rauste, Y., Praks, J. & Antropov, O., 4 Nov 2022, In: Remote Sensing. 14, 21, 5560.
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
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15 Link opens in a new tab Citations (Scopus)

152 Downloads (Pure)

Research output