Validation of Global Airport Spatial Locations From Open Databases Using Deep Learning for Runway Detection

Validation of Global Airport Spatial Locations From Open Databases Using Deep Learning for Runway Detection

Airports are important transportation hubs, but their locations searched on open databases are not reliable. Manual verification of these locations is time-consuming and labor-intensive, so that a rapid and automated validation of their spatial location is necessary. In this study, three datasets of...

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Bibliographic Details
Main Authors: Chen Ji, Liang Cheng, Ning Li, Fanxuan Zeng, Manchun Li
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Airport
deep learning
open database
remote sensing
runway detection
spatial location
Online Access:https://ieeexplore.ieee.org/document/9245575/

Internet

https://ieeexplore.ieee.org/document/9245575/

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