Cargando…
Building Corner Detection in Aerial Images with Fully Convolutional Networks
In aerial images, corner points can be detected to describe the structural information of buildings for city modeling, geo-localization, and so on. For this specific vision task, the existing generic corner detectors perform poorly, as they are incapable of distinguishing corner points on buildings...
Autores principales: | Song, Weigang, Zhong, Baojiang, Sun, Xun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6514873/ https://www.ncbi.nlm.nih.gov/pubmed/31018532 http://dx.doi.org/10.3390/s19081915 |
Ejemplares similares
-
Aerial Images and Convolutional Neural Network for Cotton Bloom Detection
por: Xu, Rui, et al.
Publicado: (2018) -
Robust Vehicle Detection in Aerial Images Based on Cascaded Convolutional Neural Networks
por: Zhong, Jiandan, et al.
Publicado: (2017) -
Classification of Building Damage Using a Novel Convolutional Neural Network Based on Post-Disaster Aerial Images
por: Hong, Zhonghua, et al.
Publicado: (2022) -
A fully convolutional network for weed mapping of unmanned aerial vehicle (UAV) imagery
por: Huang, Huasheng, et al.
Publicado: (2018) -
Flood Detection in Gaofen-3 SAR Images via Fully Convolutional Networks
por: Kang, Wenchao, et al.
Publicado: (2018)