A Deep Learning Model for Road Damage Detection After an Earthquake Based on Synthetic Aperture Radar (SAR) and Field Datasets-Reference-Cited by-同舟云学术

A Deep Learning Model for Road Damage Detection After an Earthquake Based on Synthetic Aperture Radar (SAR) and Field Datasets

Published:2022 Issue: Volume:15 Page:5753-5765
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Karimzadeh Sadra¹^ORCID,Ghasemi Mohammad¹^ORCID,Matsuoka Masashi²^ORCID,Yagi Koichi³,Zulfikar Abdullah Can⁴

Affiliation:

1. Department of Remote Sensing and GIS, University of Tabriz, Tabriz, Iran

2. Architecture and Building Engineering, Tokyo Institute of Technology, Yokohama, Japan

3. BumpRecorder Inc., Tokyo, Japan

4. Department of Civil Engineering, Gebze Technical University, Gebze, Turkey

Funder

Japan Society for the Promotion of Science

University of Tabriz, Iran

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

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