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John Ray Bergado
John Ray Bergado
Geverifieerd e-mailadres voor utwente.nl
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Detection of informal settlements from VHR images using convolutional neural networks
N Mboga, C Persello, JR Bergado, A Stein
Remote sensing 9 (11), 1106, 2017
1142017
Delineation of agricultural fields in smallholder farms from satellite images using fully convolutional networks and combinatorial grouping
C Persello, VA Tolpekin, JR Bergado, RA De By
Remote sensing of environment 231, 111253, 2019
1022019
Recurrent multiresolution convolutional networks for VHR image classification
JR Bergado, C Persello, A Stein
IEEE transactions on geoscience and remote sensing 56 (11), 6361-6374, 2018
682018
A deep learning approach to the classification of sub-decimetre resolution aerial images
JR Bergado, C Persello, C Gevaert
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2016
542016
Predicting wildfire burns from big geodata using deep learning
JR Bergado, C Persello, K Reinke, A Stein
Safety science 140, 105276, 2021
182021
Classification of multitemporal SAR images using convolutional neural networks and Markov random fields
C Danilla, C Persello, V Tolpekin, JR Bergado
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017
172017
Detection of informal settlements from VHR satellite images using convolutional neural networks
N Mboga, C Persello, JR Bergado, A Stein
2017 IEEE international geoscience and remote sensing symposium (IGARSS …, 2017
162017
Fusenet: End-to-end multispectral VHR image fusion and classification
JR Bergado, C Persello, A Stein
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
82018
A deep feature learning approach to urban scene classification
JRA Bergado
University of Twente, 2016
62016
Land use classification using deep multitask networks
JR Bergado, C Persello, A Stein
The International Archives of Photogrammetry, Remote Sensing and Spatial …, 2020
12020
Towards automated delineation of smallholder farm fields from VHR images using convolutional networks
C Persello, V Tolpekin, JR Bergado, R de By
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
12019
End-to-end predictive models for remote sensing applications
JR Bergado
2020
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Artikelen 1–12