Using wave propagation simulations and convolutional neural networks to retrieve thin film thickness from hyperspectral images

Year of publication

2021

Authors

Erkkilä, Anna-Leena; Räbinä, Jukka; Pölönen, Ilkka; Sajavaara, Timo; Alakoski, Esa; Tuovinen, Tero

Organizations and authors

JAMK University of Applied Sciences

Tuovinen Tero

Alakoski Esa

Publication type

Publication format

Article

Parent publication type

Compendium

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A3 Book chapter

Publication channel information

Journal

Intelligent systems, control and automation: Science and engineering

Parent publication name

Computational Sciences and Artificial Intelligence in Industry. New Digital Technologies for Solving Future Societal and Economical Challenges

Parent publication editors

Tuovinen, Tero; Periaux, Jacques; Neittaanmäki, Pekka

Publisher

Springer

Volume

Pages

261-275

Publication forum level

Open access

Open access in the publisher’s service

Self-archived

Other information

Fields of science

Computer and information sciences

Keywords

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Publication country

Switzerland

Language

English

International co-publication

Co-publication with a company

DOI

10.1007/978-3-030-70787-3_17

The publication is included in the Ministry of Education and Culture’s Publication data collection

Yes