Evaluation of Automated Object-Detection Algorithms for Koala Detection in Infrared Aerial Imagery

Effective detection techniques are important for wildlife monitoring and conservation applications and are especially helpful for species that live in complex environments, such as arboreal animals like koalas (Phascolarctos cinereus). The implementation of infrared cameras and drones has demonstrat...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 24; H. 21; S. 7048
Hauptverfasser:	Al-Shimaysawee, Laith A. H., Finn, Anthony, Weber, Delene, Schebella, Morgan F., Brinkworth, Russell S. A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 31.10.2024 MDPI
Schlagworte:	Algorithms Animals Automation bio-inspired vision signal processing Cameras canopy cover effects Datasets Deep learning Drones Endangered & extinct species Equipment and supplies Eucalyptus Forests Image processing Image Processing, Computer-Assisted - methods Infrared Rays insect vision koala monitoring Marine mammals Natural resources Neural networks Neural Networks, Computer occlusion analysis Phascolarctidae - physiology Plantations Protection and preservation Technology application Wildlife conservation insect vision occlusion analysis canopy cover effects koala monitoring bio-inspired vision signal processing
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
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