The Application Of Machine Learning To Paint Condition Assessment Using Hyperspectral Data-Reference-Cited by-同舟云学术

The Application Of Machine Learning To Paint Condition Assessment Using Hyperspectral Data

Published:2022-09-13 Issue: Volume: Page:
ISSN:
Container-title:2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)
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Author:

Alayoub Ayoub¹,Rahim Samer Abed El¹,Mustapha Samir¹,Salam Darine²,Tehrani Ali³,Khoa Nguyen Lu Dang⁴

Affiliation:

1. American University of Beirut,Laboratory of Smart Structures and Structural Integrity (SSSI),Department of Mechanical Engineering,Beirut,Lebanon

2. Alto University,Department of Civil and Environmental Engineering,Espoo,Finland

3. Alto University,School of Chemical Engineering,Espoo,Finland

4. CSIRO Data61, 13 Garden Street,Eveleigh,NSW,Australia,2015

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9955031/9955024/09955099.pdf?arnumber=9955099

Reference19 articles.

1. Identification of Corrosion Minerals Using Shortwave Infrared Hyperspectral Imaging;de kerf;SENSORS,2022

2. Can hyperspectral imaging be used to map corrosion products on outdoor bronze sculptures?

3. Hyperspectral imaging for the elimination of visual ambiguity in corrosion detection and identification of corrosion sources;lavadiya;Structural Health Monitoring,2021

4. Decision trees: a recent overview

5. What is a support vector machine?

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