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Fingerprint Dive into the research topics where Sylvain Lobry is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 11 Similar Researchers
Neural networks Engineering & Materials Science
imagery Earth & Environmental Sciences
learning Earth & Environmental Sciences
annotations Physics & Astronomy
field method Earth & Environmental Sciences
Speckle Engineering & Materials Science
Land use Engineering & Materials Science
train Earth & Environmental Sciences

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Research Output 2018 2019

  • 3 Conference contribution
  • 3 Paper
  • 2 Article
1 Citation (Scopus)

Correcting rural building annotations in OpenStreetMap using convolutional neural networks

Vargas-Muñoz, J. E., Lobry, S., Falcão, A. X. & Tuia, D., Jan 2019, In : ISPRS Journal of Photogrammetry and Remote Sensing. 147, p. 283-293

Research output: Contribution to journalArticleAcademicpeer-review

annotations
Neural networks
action plan
imagery
methodology

Deep learning models to count buildings in high-resolution overhead images

Lobry, S. & Tuia, D., 22 Aug 2019, 2019 Joint Urban Remote Sensing Event, JURSE 2019. Institute of Electrical and Electronics Engineers Inc., 8809058. (Joint Urban Remote Sensing Event (JURSE)).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

learning
building
counting
high resolution
outlier
2 Citations (Scopus)

Correcting Misaligned Rural Building Annotations in Open Street Map Using Convolutional Neural Networks Evidence

Vargas-Munoz, J. E., Marcos, D., Lobry, S., dos Santos, J. A., Falcao, A. X. & Tuia, D., 5 Nov 2018, 2018 IEEE International Geoscience & Remote Sensing Symposium Proceedings: Observing, Understanding And Forecasting The Dynamics Of Our Planet. IEEE Xplore, p. 1284-1287

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

field method
train
imagery
developing world
alignment

Deep learning based methods for building segmentation from remote sensing data

Lobry, S., Marcos Gonzalez, D., Vargas Munoz, J., Kellenberger, B. A., Srivastava, S. & Tuia, D., 2018. 4 p.

Research output: Contribution to conferencePaperAcademic

2 Citations (Scopus)
Open Access
learning
search engine
visual cue
France
imagery