Diagnosis of crack damage on structures based on image processing techniques and R-CNN using unmanned aerial vehicle (UAV)-Reference-Cited by-同舟云学术

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Diagnosis of crack damage on structures based on image processing techniques and R-CNN using unmanned aerial vehicle (UAV)

Published:2018-03-27 Issue: Volume: Page:
ISSN:
Container-title:Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2018
language:
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Author:

Lee Jin-Hwan,Yoon Sung-Sik,Jung Hyung-Jo,Kim In-Ho

Publisher

SPIE

Reference13 articles.

1. Unmanned Aerial Vehicle Bridge Inspection Demonstration Project : Phase 1;Lvelace,2015

2. Development of Crack Detection System with Unmanned Aerial Vehicles and Digital Image Processing;Kim,2015

3. Visual inspection strategies for large bridges using Unmanned Aerial Vehicles (UAV);Hallermann,2014

4. An innovative methodology for detection and quantification of cracks through incorporation of depth perception

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