Cargando…
LiDAR and Deep Learning-Based Standing Tree Detection for Firebreaks Applications
Forest fire prevention is very important for the protection of the ecological environment, which requires effective prevention and timely suppression. The opening of the firebreaks barrier contributes significantly to forest fire prevention. The development of an artificial intelligence algorithm ma...
Autores principales: | Liu, Zhiyong, Wang, Xi, Zhu, Jiankai, Cheng, Pengle, Huang, Ying |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9696827/ https://www.ncbi.nlm.nih.gov/pubmed/36433456 http://dx.doi.org/10.3390/s22228858 |
Ejemplares similares
-
Power Line Extraction and Tree Risk Detection Based on Airborne LiDAR
por: Xi, Siyuan, et al.
Publicado: (2023) -
Synthesis of LiDAR-Detectable True Black Core/Shell Nanomaterial and Its Practical Use in LiDAR Applications
por: Jekal, Suk, et al.
Publicado: (2022) -
Utilising LiDAR for fall detection
por: Frøvik, Nikolai, et al.
Publicado: (2021) -
LiDAR remote sensing and applications
por: Dong, Pinliang, et al.
Publicado: (2017) -
LiDAR Intensity Completion: Fully Exploiting the Message from LiDAR Sensors
por: Dai, Weichen, et al.
Publicado: (2022)