Coupled non-negative matrix factorization (CNMF) for hyperspectral and multispectral data fusion: Application to pasture classification

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn , Issue , 2011, Pages 1779-1782

  Yokoya, Naoto ^a   Yairi, Takehisa ^b   Iwasaki, Akira ^b  

^a UNIVERSITY OF TOKYO   (Japan)

^b UNIVERSITY OF TOKYO   (Japan)

Author keywords

data fusion; Non negative matrix factorization; pasture classification; unmixing

Indexed keywords

AIRBORNE HYPERSPECTRAL DATA; CLASSIFICATION ACCURACY; DATA SETS; HYPERSPECTRAL; MULTI-SPECTRAL DATA; NONNEGATIVE MATRIX FACTORIZATION; PASTURE CLASSIFICATION; SPATIAL RESOLUTION; SPECTRAL DISTORTIONS; SPECTRAL QUALITY; UNMIXING;

AGRICULTURE; BLIND SOURCE SEPARATION; DATA FUSION; FACTORIZATION; GEOLOGY; IMAGE RESOLUTION; INFORMATION FUSION; REMOTE SENSING;

MATRIX ALGEBRA;

EID: 80955132771     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2011.6049465     Document Type: Conference Paper

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