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J.R. Bergado BSc (John)

PhD Candidate

Expertise

Informal Settlement
Image Resolution
Detection
Analysis
Imagery
Learning
State Of The Art
Automatic Detection
Pixel
Matrix
Method
Quickbird
Decision Making
Sensitivity Analysis
Engineering
Support Vector Machine
Resource Allocation
Land Use
Urban Settlement
Satellite Image
Texture

Publications

Recent
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