Remote sensing, deep learning and animal detection.
1. A review of deep learning techniques for detecting animals in aerial and satellite images
Zeyu Xu*, Tiejun Wang*, Andrew K. Skidmore, Richard Lamprey
2. Bounding box versus point annotation: The impact on deep learning performance for animal detection in aerial images
Zeyu Xu*, Tiejun Wang*, Andrew K. Skidmore, Richard Lamprey, Shadrack Ngene
3. AI-powered satellite survey reveals migratory wildebeest numbers in the Serengeti are less than half of previous estimates
Isla Duporge*†, Zijing Wu†, Zeyu Xu†, Peng Gong, Daniel Rubenstein, David W. Macdonald, Anthony R. E. Sinclair, Simon Levin, Stephen Lee, Tiejun Wang*
†These authors contributed equally
PNAS Nexus, Accepted
Remote sensing, deep learning and other applications.
Building Extraction
Enhanced DeepLab
https://www.engineeringvillage.com/app/doc/?docid=geo_5d7515a917ebc41d2ffM69161017816328
Classification of urban features
Enhanced DeepLab
https://www.ygxb.ac.cn/en/article/doi/10.11834/jrs.20209200/
Detection of water conservancy facilities
Enhanced YOLO v3
https://www.ygxb.ac.cn/en/article/doi/10.11834/jrs.20200124/