Unlocking the Potential of Deep Learning for Migratory Waterbirds Monitoring Using Surveillance Video

Unlocking the Potential of Deep Learning for Migratory Waterbirds Monitoring Using Surveillance Video

Estimates of migratory waterbirds population provide the essential scientific basis to guide the conservation of coastal wetlands, which are heavily modified and threatened by economic development. New equipment and technology have been increasingly introduced in protected areas to expand the monito...

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Bibliographic Details
Main Authors: Entao Wu, Hongchang Wang, Huaxiang Lu, Wenqi Zhu, Yifei Jia, Li Wen, Chi-Yeung Choi, Huimin Guo, Bin Li, Lili Sun, Guangchun Lei, Jialin Lei, Haifang Jian
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Remote Sensing
Subjects:
automated density estimation
deep learning
panorama images
migratory waterbirds
coastal wetland
Online Access:https://www.mdpi.com/2072-4292/14/3/514

Internet

https://www.mdpi.com/2072-4292/14/3/514

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