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J.R. Bergado BSc (John)

PhD Candidate

Publications

Recent Articles
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). Institute of Electrical and Electronics Engineers ( IEEE ). DOI: 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). Institute of Electrical and Electronics Engineers ( IEEE ). DOI: 10.1109/IGARSS.2017.8127432
Bergado, J. R., Persello, C., & Gevaert, C. (2016). A deep learning approach to the classification of sub-decimetre resolution aerial images. In Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS) : Advancing the understanding of our living planet, 10-15 July 2016, Beijing, China (pp. 1516-1519). IEEE. DOI: 10.1109/IGARSS.2016.7729387

UT Research Information System

Contact Details

Visiting Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
ITC (building no. 75), room 2-038
Hengelosestraat 99
7514AE  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
ITC  2-038
P.O. Box 217
7500 AE Enschede
The Netherlands