A convolutional neural network architecture designed for the automated survey of seabird colonies

• Published in: Remote Sensing in Ecology and Conservation
• Main Authors: Le, Hieu, Samaras, Dimitris, Lynch, Heather J.
• Other Authors: Pettorelli, Nathalie, Kuemmerle, Tobias, National Geographic Society
• Format: Article in Journal/Newspaper
• Language: English
• Published: Wiley 2021
• Subjects: Antarc*; Antarctic
• Online Access: http://dx.doi.org/10.1002/rse2.240; https://onlinelibrary.wiley.com/doi/pdf/10.1002/rse2.240; https://onlinelibrary.wiley.com/doi/full-xml/10.1002/rse2.240; https://zslpublications.onlinelibrary.wiley.com/doi/pdf/10.1002/rse2.240

Abstract Satellite imagery is now well established as a method of finding and estimating the abundance of Antarctic penguin colonies. However, the delineation and classification of penguin colonies in sub‐meter satellite imagery has required the use of expert observers and is highly labor intensive,...