Welcome...

dr. J.R. Bergado (JR)

Researcher

About Me

John Ray Bergado is currently a researcher/lecturer in the department of Earth Observation Science (EOS), Faculty of Geoinformation Science and Earth Observation (ITC), University of Twente (UT), Enschede, The Netherlands. He received his:

  • PhD degree (thesis title: "End-to-end predictive models for remote sensing application") from Faculty ITC, UT in 2020;
  • Master of Science degree in Geoinformation Science and Earth Observation specializing in Geoinformatics (with distinction) from Faculty ITC, UT in 2016;
  • and Bachelor of Science degree in Geodetic Engineering (magna cum laude) from the University of the Philippines, Diliman, Philippines in 2013.

His research interests are on the interface of machine learning, statistical learning, and deep learning methods with geospatial technologies such as remote sensing, photogrammetry, and unmanned aerial vehicles (UAV). Before rejoining ITC, UT in 2022 as a researcher/lecturer, he was an Earth Observation and Geomatics Specialist with NEO BV Netherlands from 2020 to 2022; a Research Assistant with ITC, UT from 2016 to 2020; a Visiting Research Assistant with Royal Melbourne Institute of Technology (RMIT), Melbourne, Australia from 2018 to 2019; and a Geodetic Engineer with SRDP Consulting Inc., Philippines from 2013 to 2014.

Expertise

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

Publications

Recent
Bergado, J. R. (2020). End-to-end predictive models for remote sensing applications. 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). [8897979] (International Geoscience and Remote Sensing Symposium (IGARSS)). IEEE. https://doi.org/10.1109/IGARSS.2019.8897979
Bergado, J. R. , Persello, C. , & Stein, A. (2018). FuseNet: End-to-end multispectral VHR image fusion and classification. In 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings (Vol. 2018-July, pp. 2091-2094). [8519214] IEEE. https://doi.org/10.1109/IGARSS.2018.8519214
Mboga, N. , Persello, C. , Bergado, J. R. , & Stein, A. (2017). Detection of informal settlements from VHR satellite images using convolutional neural networks. In 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS): 23-28 July 2017, Fort Worth Texas, USA (pp. 5169-5172). IEEE. https://doi.org/10.1109/IGARSS.2017.8128166
Danilla, C. , Persello, C. , Tolpekin, V. , & Bergado, J. R. (2017). Classification of multitemporal SAR images using convolutional neural networks and Markov random fields. In 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS): 23-28 Jly 2017, Fort Worth Texas, USA (pp. 2231-2234). IEEE. https://doi.org/10.1109/IGARSS.2017.8127432

UT Research Information System

Google Scholar Link

Contact Details

Visiting Address

University of Twente
Drienerlolaan 5
7522 NB Enschede
The Netherlands

Navigate to location

Mailing Address

University of Twente
P.O. Box 217
7500 AE Enschede
The Netherlands