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Classification of Alteration Zones Based on Drill Core Hyperspectral Data Using Semi-Supervised Adve...

Classification of Alteration Zones Based on Drill Core Hyperspectral Data Using Semi-Supervised Adve...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_36963390907440cd98a040cc38bab0d7

Classification of Alteration Zones Based on Drill Core Hyperspectral Data Using Semi-Supervised Adversarial Autoencoder: A Case Study in Pulang Porphyry Copper Deposit, China

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Full title

Classification of Alteration Zones Based on Drill Core Hyperspectral Data Using Semi-Supervised Adversarial Autoencoder: A Case Study in Pulang Porphyry Copper Deposit, China

Publisher

Basel: MDPI AG

Journal title

Remote sensing (Basel, Switzerland), 2023-02, Vol.15 (4), p.1059

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

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Scope and Contents

Contents

With the development of hyperspectral technology, it has become possible to classify alteration zones using hyperspectral data. Since various altered rocks are comprehensive manifestations of mineral assemblages, their spectra are highly similar, which greatly increases the difficulty of distinguishing among them. In this study, a Semi-Supervised A...

Alternative Titles

Full title

Classification of Alteration Zones Based on Drill Core Hyperspectral Data Using Semi-Supervised Adversarial Autoencoder: A Case Study in Pulang Porphyry Copper Deposit, China

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_36963390907440cd98a040cc38bab0d7

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_36963390907440cd98a040cc38bab0d7

Other Identifiers

ISSN

2072-4292

E-ISSN

2072-4292

DOI

10.3390/rs15041059

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