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

AM Dujon, D Ierodiaconou, JJ Geeson… - Remote Sensing in …, 2021 - Wiley Online Library
Abstract Machine learning algorithms are being increasingly used to process large volumes
of wildlife imagery data from unmanned aerial vehicles (UAVs); however, suitable algorithms …
被引用次数：47 相关文章

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

G Schofield, A Dujon, D Ierodiaconou… - Remote Sensing in …, 2021 - qmro.qmul.ac.uk
Machine learning algorithms are being increasingly used to process large volumes of
wildlife imagery data from unmanned aerial vehicles (UAVs); however, suitable algorithms to …
[PDF] researchgate.net

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

AM Dujon, D Ierodiaconou, JJ Geeson, JPY Arnould… - 2021 - researchgate.net
Abstract Machine learning algorithms are being increasingly used to process large volumes
of wildlife imagery data from unmanned aerial vehicles (UAVs); however, suitable algorithms …
[PDF] deakin.edu.au

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

A Dujon, D Ierodiaconou, J Geeson, J Arnould, B Allan… - 2021 - dro.deakin.edu.au
Machine learning to detect marine animals in UAV imagery: effect of morphology, spacing,
behaviour and habitat Page 1 Machine learning to detect marine animals in UAV imagery …

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

AM Dujon, D Ierodiaconou, JJ Geeson… - Remote Sensing in …, 2021 - search.proquest.com
Abstract Machine learning algorithms are being increasingly used to process large volumes
of wildlife imagery data from unmanned aerial vehicles (UAVs); however, suitable algorithms …
[PDF] academia.edu

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

AM Dujon, D Ierodiaconou, JJ Geeson, JPY Arnould… - 2021 - academia.edu
Abstract Machine learning algorithms are being increasingly used to process large volumes
of wildlife imagery data from unmanned aerial vehicles (UAVs); however, suitable algorithms …
[PDF] archive.org

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

AM Dujon, D Ierodiaconou, JJ Geeson, JPY Arnould… - 2021 - scholar.archive.org
Abstract Machine learning algorithms are being increasingly used to process large volumes
of wildlife imagery data from unmanned aerial vehicles (UAVs); however, suitable algorithms …

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

AM Dujon, D Ierodiaconou, JJ Geeson… - Remote Sensing in …, 2021 - ui.adsabs.harvard.edu
Abstract Machine learning algorithms are being increasingly used to process large volumes
of wildlife imagery data from unmanned aerial vehicles (UAVs); however, suitable algorithms …
[PDF] deakin.edu.au

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

A Dujon, D Ierodiaconou, J Geeson, J Arnould, B Allan… - 2021 - dro.deakin.edu.au
Abstract Machine learning algorithms are being increasingly used to process large volumes
of wildlife imagery data from unmanned aerial vehicles (UAVs); however, suitable algorithms …