Cargando…
Automatic Modulation Classification Based on Deep Learning for Unmanned Aerial Vehicles
Deep learning has recently attracted much attention due to its excellent performance in processing audio, image, and video data. However, few studies are devoted to the field of automatic modulation classification (AMC). It is one of the most well-known research topics in communication signal recogn...
Autores principales: | Zhang, Duona, Ding, Wenrui, Zhang, Baochang, Xie, Chunyu, Li, Hongguang, Liu, Chunhui, Han, Jungong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5876703/ https://www.ncbi.nlm.nih.gov/pubmed/29558434 http://dx.doi.org/10.3390/s18030924 |
Ejemplares similares
-
Automatic instance segmentation of orchard canopy in unmanned aerial vehicle imagery using deep learning
por: Zhang, Weirong, et al.
Publicado: (2022) -
Automatic Extraction of Power Lines from Aerial Images of Unmanned Aerial Vehicles
por: Song, Jiang, et al.
Publicado: (2022) -
Handbook of unmanned aerial vehicles
por: Valavanis, Kimon, et al.
Publicado: (2015) -
Guidance of Unmanned Aerial Vehicles
por: Yanushevsky, Rafael
Publicado: (2011) -
Use of Unmanned Aerial Vehicle Imagery and Deep Learning UNet to Extract Rice Lodging
por: Zhao, Xin, et al.
Publicado: (2019)