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Ensemble-Based Cascaded Constrained Energy Minimization for Hyperspectral Target Detection

Ensemble-Based Cascaded Constrained Energy Minimization for Hyperspectral Target Detection

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ed630d7a32cf4b3d929b5f5fa591c4cf

Ensemble-Based Cascaded Constrained Energy Minimization for Hyperspectral Target Detection

About this item

Full title

Ensemble-Based Cascaded Constrained Energy Minimization for Hyperspectral Target Detection

Publisher

Basel: MDPI AG

Journal title

Remote sensing (Basel, Switzerland), 2019-06, Vol.11 (11), p.1310

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Ensemble learning is an important group of machine learning techniques that aim to enhance the nonlinearity and generalization ability of a learning system by aggregating multiple learners. We found that ensemble techniques show great potential for improving the performance of traditional hyperspectral target detection algorithms, while at present,...

Alternative Titles

Full title

Ensemble-Based Cascaded Constrained Energy Minimization for Hyperspectral Target Detection

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_ed630d7a32cf4b3d929b5f5fa591c4cf

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ed630d7a32cf4b3d929b5f5fa591c4cf

Other Identifiers

ISSN

2072-4292

E-ISSN

2072-4292

DOI

10.3390/rs11111310

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