Cargando…
Road Extraction from Unmanned Aerial Vehicle Remote Sensing Images Based on Improved Neural Networks
Roads are vital components of infrastructure, the extraction of which has become a topic of significant interest in the field of remote sensing. Because deep learning has been a popular method in image processing and information extraction, researchers have paid more attention to extracting road usi...
Autores principales: | Li, Yuxia, Peng, Bo, He, Lei, Fan, Kunlong, Li, Zhenxu, Tong, Ling |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6806354/ https://www.ncbi.nlm.nih.gov/pubmed/31547609 http://dx.doi.org/10.3390/s19194115 |
Ejemplares similares
-
The Use of Unmanned Aerial Vehicles in Remote Sensing Systems †
por: Olejnik, Aleksander, et al.
Publicado: (2020) -
Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives
por: Yang, Guijun, et al.
Publicado: (2017) -
Incorporation of Unmanned Aerial Vehicle (UAV) Point Cloud Products into Remote Sensing Evapotranspiration Models
por: Aboutalebi, Mahyar, et al.
Publicado: (2020) -
Handbook of unmanned aerial vehicles
por: Valavanis, Kimon, et al.
Publicado: (2015) -
Guidance of Unmanned Aerial Vehicles
por: Yanushevsky, Rafael
Publicado: (2011)