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A Spectral Feature Based Convolutional Neural Network for Classification of Sea Surface Oil Spill

A Spectral Feature Based Convolutional Neural Network for Classification of Sea Surface Oil Spill

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2e0986d5b8e14b2697cbf460fec0b025

A Spectral Feature Based Convolutional Neural Network for Classification of Sea Surface Oil Spill

About this item

Full title

A Spectral Feature Based Convolutional Neural Network for Classification of Sea Surface Oil Spill

Publisher

Basel: MDPI AG

Journal title

ISPRS international journal of geo-information, 2019-03, Vol.8 (4), p.160

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Spectral characteristics play an important role in the classification of oil film, but the presence of too many bands can lead to information redundancy and reduced classification accuracy. In this study, a classification model that combines spectral indices-based band selection (SIs) and one-dimensional convolutional neural networks was proposed t...

Alternative Titles

Full title

A Spectral Feature Based Convolutional Neural Network for Classification of Sea Surface Oil Spill

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_2e0986d5b8e14b2697cbf460fec0b025

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2e0986d5b8e14b2697cbf460fec0b025

Other Identifiers

ISSN

2220-9964

E-ISSN

2220-9964

DOI

10.3390/ijgi8040160

How to access this item