Cargando…
Application of Deep-Learning Methods to Bird Detection Using Unmanned Aerial Vehicle Imagery
Wild birds are monitored with the important objectives of identifying their habitats and estimating the size of their populations. Especially in the case of migratory bird, they are significantly recorded during specific periods of time to forecast any possible spread of animal disease such as avian...
Autores principales: | Hong, Suk-Ju, Han, Yunhyeok, Kim, Sang-Yeon, Lee, Ah-Yeong, Kim, Ghiseok |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6479331/ https://www.ncbi.nlm.nih.gov/pubmed/30959913 http://dx.doi.org/10.3390/s19071651 |
Ejemplares similares
-
Real-Time Vehicle-Detection Method in Bird-View Unmanned-Aerial-Vehicle Imagery
por: Han, Seongkyun, et al.
Publicado: (2019) -
Detecting Intra-Field Variation in Rice Yield With Unmanned Aerial Vehicle Imagery and Deep Learning
por: Bellis, Emily S., et al.
Publicado: (2022) -
Use of Unmanned Aerial Vehicle Imagery and Deep Learning UNet to Extract Rice Lodging
por: Zhao, Xin, et al.
Publicado: (2019) -
Automatic instance segmentation of orchard canopy in unmanned aerial vehicle imagery using deep learning
por: Zhang, Weirong, et al.
Publicado: (2022) -
Applications of Unmanned Aerial Vehicle Based Imagery in Turfgrass Field Trials
por: Zhang, Jing, et al.
Publicado: (2019)