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

  • 7 Similar Researchers
Neural networks Engineering & Materials Science
Remote sensing Engineering & Materials Science
learning Earth & Environmental Sciences
remote sensing Earth & Environmental Sciences
Data fusion Engineering & Materials Science
Unmanned aerial vehicles (UAV) Engineering & Materials Science
Land use Engineering & Materials Science
Animals Engineering & Materials Science

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Research Output 2017 2019

Best practices to train deep models on imbalanced datasets—a case study on animal detection in aerial imagery

Kellenberger, B., Marcos, D. & Tuia, D., 1 Jan 2019, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Proceedings. Brefeld, U., Marascu, A., Pinelli, F., Curry, E., MacNamee, B., Hurley, N., Daly, E. & Berlingerio, M. (eds.). Springer Verlag, p. 630-634 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11053 LNAI).

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

Best Practice
Curricula
Recommendations
Animals
Antennas

Change detection between digital surface models from airborne laser scanning and dense matching using convolutional neural networks

Zhang, Z., Vosselman, G., Gerke, M., Persello, C., Tuia, D. & Yang, M. Y., 29 May 2019, ISPRS Geospatial Week 2019, 10–14 June 2019, Enschede, The Netherlands. ISPRS, p. 453-460 8 p. (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences; vol. IV-2/W5).

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

Open Access
airborne lasers
change detection
raster
laser
Neural networks
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

Injecting spatial priors in Earth observation with machine vision

Gonzalez, D., 2019, Wageningen: Wageningen University. 130 p.

Research output: Thesisinternal PhD, WUAcademic

Open Access

Projects 2017 2021

Datasets

Near real-time ultrahigh-resolution imaging from unmanned aerial vehicles for sustainable land use management and biodiversity conservation in semi-arid savanna under regional and global change (SAVMAP)

Reinhard, F. (Creator), Parkan, M. (Creator), Produit, T. (Creator), Betschart, S. (Creator), Bacchilega, B. (Creator), Hauptfleisch, M. L. (Creator), Meier, P. (Creator), Joost, S. (Creator), 29 Mar 2015

Dataset

Activities 2018 2018

  • 1 Public lecture/debate/seminar

Wildlife conservation from above

D. Tuia (Speaker)
5 Jun 2018

Activity: Talk or presentationPublic lecture/debate/seminar

Press / Media

Groot wild tellen met drones

Devis Tuia

1/12/18

1 media contribution

Press/Media: Research

Counting big game with drones

Devis Tuia

18/11/18

1 media contribution

Press/Media: Expert Comment