Machine learning to detect marine animals in UAV imagery: effect of morphology, spacing, behaviour and habitat

Dujon, Antoine M, Ierodiaconou, Daniel, Geeson, Johanna J, Arnould, John PY, Allan, Blake M, Katselidis, Kostas A and Schofield, Gail 2021, Machine learning to detect marine animals in UAV imagery: effect of morphology, spacing, behaviour and habitat, Remote sensing in ecology and conservation, pp. 1-14, doi: 10.1002/rse2.205.

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Title Machine learning to detect marine animals in UAV imagery: effect of morphology, spacing, behaviour and habitat
Author(s) Dujon, Antoine M
Ierodiaconou, DanielORCID iD for Ierodiaconou, Daniel orcid.org/0000-0002-7832-4801
Geeson, Johanna J
Arnould, John PYORCID iD for Arnould, John PY orcid.org/0000-0003-1124-9330
Allan, Blake MORCID iD for Allan, Blake M orcid.org/0000-0003-0101-3412
Katselidis, Kostas A
Schofield, GailORCID iD for Schofield, Gail orcid.org/0000-0002-8438-4181
Journal name Remote sensing in ecology and conservation
Start page 1
End page 14
Total pages 14
Publisher Wiley
Place of publication Chichester, Eng.
Publication date 2021-05-05
ISSN 2056-3485
2056-3485
Keyword(s) aerial surveys
artificial intelligence
deep learning
demography
Ecology
Environmental Sciences & Ecology
Life Sciences & Biomedicine
movement ecology
Remote Sensing
satellite imagery
Science & Technology
Technology
Notes In Press
Language eng
DOI 10.1002/rse2.205
Indigenous content off
Field of Research 0502 Environmental Science and Management
0602 Ecology
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30151610

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