Automatic Assessment and Prediction of the Resilience of Utility Poles Using Unmanned Aerial Vehicles and Computer Vision Techniques
Crossref DOI link: https://doi.org/10.1007/s13753-020-00254-1
Published Online: 2020-02-19
Published Print: 2020-02
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Alam, Md Morshedul
Zhu, Zanbo
Eren Tokgoz, Berna
Zhang, Jing
Hwang, Seokyon
Text and Data Mining valid from 2020-02-01
Version of Record valid from 2020-02-19
Article History
First Online: 19 February 2020