Welkom...

dr. J.R. Bergado (JR)

Onderzoeker

Expertises

Engineering & Materials Science
Convolutional Neural Networks
Deep Learning
Image Classification
Image Fusion
Image Resolution
Land Use
Satellite Imagery
Satellites

Publicaties

Recent
Bergado, J. R. , & Nex, F. C. (2023). Dense point cloud extraction from UAV imagery using parallax attention. In N. El-Sheimy, A. Abdelbary, N. El-Bandary, & Y. Hohasseb (Eds.), ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences: ISPRS Geospatial Week 2023 (W1-2023 ed., Vol. X-1, pp. 1027-1032). (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). Copernicus. https://doi.org/10.5194/isprs-annals-X-1-W1-2023-1027-2023
Bergado, J. R. (2020). End-to-end predictive models for remote sensing applications. [PhD Thesis - Research UT, graduation UT, Faculty of Geo-Information Science and Earth Observation, University of Twente]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). https://doi.org/10.3990/1.9789036550963
Bergado, J. R. , Persello, C. , & Stein, A. (2020). Land use classification using deep multitask networks. In N. Paparoditis, C. Mallet, F. Lafarge, J. Jiang, A. Shaker, H. Zhang, X. Liang, B. Osmanoglu, U. Soergel, E. Honkavaara, M. Scaioni, J. Zhang, A. Peled, L. Wu, R. Li, M. Yoshimura, K. Di, O. Altan, H. M. Abdulmuttalib, & F. S. Faruque (Eds.), Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci (B3 ed., Vol. 43, pp. 17-21). (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives). International Society for Photogrammetry and Remote Sensing (ISPRS). https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-17-2020
Persello, C. , Tolpekin, V. , Bergado, J. R. , & De By, R. A. (2019). Towards automated delineation of smallholder farm fields from VHR images using convolutional networks. In 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings (pp. 3836-3839). Article 8897979 (International Geoscience and Remote Sensing Symposium (IGARSS)). IEEE. https://doi.org/10.1109/IGARSS.2019.8897979

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Verbonden aan Opleidingen

Master

Vakken Collegejaar  2023/2024

Vakken in het huidig collegejaar worden toegevoegd op het moment dat zij definitief zijn in het Osiris systeem. Daarom kan het zijn dat de lijst nog niet compleet is voor het gehele collegejaar.
 

Vakken Collegejaar  2022/2023

Contactgegevens

Bezoekadres

Universiteit Twente
Drienerlolaan 5
7522 NB Enschede

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Postadres

Universiteit Twente
Postbus 217
7500 AE Enschede