Mapping Utility Poles in Aerial Orthoimages Using ATSS Deep Learning Method

Mapping Utility Poles in Aerial Orthoimages Using ATSS Deep Learning Method

Mapping utility poles using side-view images acquired with car-mounted cameras is a time-consuming task, mainly in larger areas due to the need for street-by-street surveying. Aerial images cover larger areas and can be feasible alternatives although the detection and mapping of the utility poles in...

Full description

Bibliographic Details
Main Authors: Matheus Gomes, Jonathan Silva, Diogo Gonçalves, Pedro Zamboni, Jader Perez, Edson Batista, Ana Ramos, Lucas Osco, Edson Matsubara, Jonathan Li, José Marcato Junior, Wesley Gonçalves
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Sensors
Subjects:
object detection
convolutional neural network
utility pole detection
Online Access:https://www.mdpi.com/1424-8220/20/21/6070

Internet

https://www.mdpi.com/1424-8220/20/21/6070

Similar Items