CNN-Based Image Quality Classification Considering Quality Degradation in Bridge Inspection Using an Unmanned Aerial Vehicle-Reference-Cited by-同舟云学术

CNN-Based Image Quality Classification Considering Quality Degradation in Bridge Inspection Using an Unmanned Aerial Vehicle

Published:2023 Issue: Volume:11 Page:22096-22113
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Gwon Gi-Hun¹^ORCID,Lee Jin Hwan¹,Kim In-Ho²^ORCID,Jung Hyung-Jo¹^ORCID

Affiliation:

1. Department of Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology, Yuseong-gu, Daejeon, Republic of Korea

2. Department of Civil Engineering, Kunsan National University, Gunsan-si, Jeollabuk-do, Republic of Korea

Funder

Technology Advancement Research Program Funded by Ministry of Land, Infrastructure and Transport (MOLIT) of Korean Government

Basic Science Research Program Funded by the National Research Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10021574.pdf?arnumber=10021574

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5. Vision-based structural inspection using multiscale deep convolutional neural networks;hoskere;Proc 3rd Huixian Int Forum Earthquake Eng Young Researchers,2017

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