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Data-Driven flood detection using neural networks

Publikation: Beiträge in Zeitschriften › Konferenzaufsätze in Fachzeitschriften › Forschung › begutachtet

Authors

  • Keiller Nogueira
  • Samuel G. Fadel
  • Icaro C. Dourado
  • Rafael O. De Werneck
  • Javier A. Munoz
  • Otavio A.B. Penatti
  • Rodrigo T. Calumby
  • Lin Tzy Li
  • Jefersson A.Dos Santos
  • Ricardo Da S. Torres

This paper describes the approaches used by our team (MultiBrasil) for the Multimedia Satellite Task at MediaEval 2017. For both disaster image retrieval and flood-detection in satellite images, we employ neural networks for end-to-end learning. Specifically, for the first subtask, we exploit Convolutional Networks and Relation Networks while, for the latter, dilated Convolutional Networks were employed.

OriginalspracheEnglisch
BuchreihenCEUR Workshop Proceedings
Jahrgang1984
Anzahl der Seiten3
ISSN1613-0073
PublikationsstatusErschienen - 2017
Extern publiziertJa
VeranstaltungMultimedia Benchmark Workshop - MediaEval 2017 - Trinity College, Dublin, Irland
Dauer: 13.09.2017 → 15.09.2017
http://www.multimediaeval.org/mediaeval2017/

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