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Convolutional Neural Network Chemometrics for Rock Identification Based on Laser-Induced Breakdown S...

Convolutional Neural Network Chemometrics for Rock Identification Based on Laser-Induced Breakdown S...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_cd2e3e4a4ae04ccaa32fd01b3fb4fcd0

Convolutional Neural Network Chemometrics for Rock Identification Based on Laser-Induced Breakdown Spectroscopy Data in Tianwen-1 Pre-Flight Experiments

About this item

Full title

Convolutional Neural Network Chemometrics for Rock Identification Based on Laser-Induced Breakdown Spectroscopy Data in Tianwen-1 Pre-Flight Experiments

Publisher

Basel: MDPI AG

Journal title

Remote sensing (Basel, Switzerland), 2022-11, Vol.14 (21), p.5343

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Laser-induced breakdown spectroscopy (LIBS) coupled with chemometrics is an efficient method for rock identification and classification, which has considerable potential in planetary geology. A great challenge facing the LIBS community is the difficulty to accurately discriminate rocks with close chemical compositions. A convolutional neural networ...

Alternative Titles

Full title

Convolutional Neural Network Chemometrics for Rock Identification Based on Laser-Induced Breakdown Spectroscopy Data in Tianwen-1 Pre-Flight Experiments

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_cd2e3e4a4ae04ccaa32fd01b3fb4fcd0

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_cd2e3e4a4ae04ccaa32fd01b3fb4fcd0

Other Identifiers

ISSN

2072-4292

E-ISSN

2072-4292

DOI

10.3390/rs14215343

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