Evaluating Thermal and Color Sensors for Automating Detection of Penguins and Pinnipeds in Images Collected with an Unoccupied Aerial System

• Published in: Drones
• Main Authors: Jefferson T. Hinke, Louise M. Giuseffi, Victoria R. Hermanson, Samuel M. Woodman, Douglas J. Krause
• Format: Article in Journal/Newspaper
• Language: English
• Published: MDPI AG 2022
• Subjects: automated detection; Antarctica; drone; census; image analysis; Motor vehicles. Aeronautics. Astronautics; TL1-4050; Antarctic; Livingston Island; Shirreff; Cape Shirreff; Antarc*; Antarctic Fur Seals; Arctocephalus gazella
• Online Access: https://doi.org/10.3390/drones6090255; https://doaj.org/article/d29ec75c33e74e18b85e4dec66cf01a4

Estimating seabird and pinniped abundance is central to wildlife management and ecosystem monitoring in Antarctica. Unoccupied aerial systems (UAS) can collect images to support monitoring, but manual image analysis is often impractical. Automating target detection using deep learning techniques may...