Comparing the Accuracy of sUAS Navigation, Image Co-Registration and CNN-Based Damage Detection between Traditional and Repeat Station Imaging

Comparing the Accuracy of sUAS Navigation, Image Co-Registration and CNN-Based Damage Detection between Traditional and Repeat Station Imaging

The application of ultra-high spatial resolution imagery from small unpiloted aerial systems (sUAS) can provide valuable information about the status of built infrastructure following natural disasters. This study employs three methods for improving the value of sUAS imagery: (1) repeating the posit...

Full description

Bibliographic Details
Main Authors: Andrew C. Loerch, Douglas A. Stow, Lloyd L. Coulter, Atsushi Nara, James Frew
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Geosciences
Subjects:
post-hazard
damage detection
machine learning
UAS
Online Access:https://www.mdpi.com/2076-3263/12/11/401

Internet

https://www.mdpi.com/2076-3263/12/11/401

Similar Items