Cargando…
All-in-one aerial image enhancement network for forest scenes
Drone monitoring plays an irreplaceable and significant role in forest firefighting due to its characteristics of wide-range observation and real-time messaging. However, aerial images are often susceptible to different degradation problems before performing high-level visual tasks including but not...
Autores principales: | Chen, Zhaoqi, Wang, Chuansheng, Zhang, Fuquan, Zhang, Ling, Grau, Antoni, Guerra, Edmundo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10086424/ https://www.ncbi.nlm.nih.gov/pubmed/37056495 http://dx.doi.org/10.3389/fpls.2023.1154176 |
Ejemplares similares
-
Semi-supervised wildfire smoke detection based on smoke-aware consistency
por: Wang, Chuansheng, et al.
Publicado: (2022) -
LANet: Stereo matching network based on linear-attention mechanism for depth estimation optimization in 3D reconstruction of inter-forest scene
por: Liu, Lina, et al.
Publicado: (2022) -
Aerial Images and Convolutional Neural Network for Cotton Bloom Detection
por: Xu, Rui, et al.
Publicado: (2018) -
Forest fire monitoring via uncrewed aerial vehicle image processing based on a modified machine learning algorithm
por: Zheng, Shaoxiong, et al.
Publicado: (2022) -
Unmanned Aerial System-Based Weed Mapping in Sod Production Using a Convolutional Neural Network
por: Zhang, Jing, et al.
Publicado: (2021)