Spatial‐spectral feature extraction of hyperspectral images using tensor‐based collaborative graph a...
Spatial‐spectral feature extraction of hyperspectral images using tensor‐based collaborative graph analysis
Publication information
Publisher
Stevenage: John Wiley & Sons, Inc
Subjects
More information
Scope and Contents
Contents
Although the collaborative graph‐based discriminant analysis (CGDA) method has shown promising performance for the feature extraction of the hyperspectral image (HSI), both the intrinsic local subspace structures and spatial structural information are ignored in CGDA. To address these problems, a novel spatial‐spectral feature extraction method, i....
Alternative Titles
Full title
Spatial‐spectral feature extraction of hyperspectral images using tensor‐based collaborative graph analysis
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_980ef7948023474b97702aaae8600401
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_980ef7948023474b97702aaae8600401
Other Identifiers
ISSN
0013-5194
E-ISSN
1350-911X
DOI
10.1049/ell2.12109
