Undercomplete learned dictionaries for land cover classification in multispectral imagery of arctic landscapes using CoSA: Clustering of sparse approximations

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 8743, Issue , 2013, Pages

  Moody, Daniela I ^a   Brumby, Steven P ^a   Rowland, Joel C ^a   Gangodagamage, Chandana ^a  

^a LOS ALAMOS NATIONAL LABORATORY   (United States)

Author keywords

Clustering of sparse approximations; Hebbian learning; Land cover classification; Multispectral learned dictionaries; Spectral textural features; Undercomplete dictionaries; Unsupervised classification

Indexed keywords

HEBBIAN LEARNING; LAND COVER CLASSIFICATION; LEARNED DICTIONARIES; SPARSE APPROXIMATIONS; SPECTRAL-TEXTURAL FEATURES; UNSUPERVISED CLASSIFICATION;

APPROXIMATION ALGORITHMS; CLIMATE CHANGE; COMPUTER VISION; FEATURE EXTRACTION; LEARNING SYSTEMS; NEUROLOGY; REMOTE SENSING; SIGNAL PROCESSING;

CLUSTERING ALGORITHMS;

EID: 84881174823     PISSN: 0277786X     EISSN: 1996756X     Source Type: Conference Proceeding    
DOI: 10.1117/12.2016135     Document Type: Conference Paper

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