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Weighted abundance-constrained linear spectral mixture analysis

Author
CHANG, Chein-I1 ; BAOHONG JI1
[1] Remote Sensing Signal and Image Processing Laboratory, Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, Baltimore, MD 21250, United States
Source

IEEE transactions on geoscience and remote sensing. 2006, Vol 44, Num 2, pp 378-388, 11 p ; Illustration , Table ; ref : 32 ref

CODEN
IGRSD2
ISSN
0196-2892
Scientific domain
Agronomy, agriculture, phytopathology; Ecology; Geology; Geophysics; Telecommunications
Publisher
Institute of Electrical and Electronics Engineers, New York, NY
Publication country
United States
Document type
Article
Language
English
Author keyword
Abundance-constrained linear spectral mixture analysis (AC-LSMA) MD- weighted AC-LSMA Mahalanobis distance (MD) S-1W-weighted AC-LSMA linearly constrained minimum variance (LCMV)-weighted AC-LSMA orthogonal subspace projection (OSP)- weighted AC-LSMA
Keyword (fr)
Analyse moindres carrés Classification Erreur Etude expérimentale Projection LSMA
Keyword (en)
least-squares classification errors experimental studies projection
Keyword (es)
Clasificación Error Proyección
Classification
Pascal
001 Exact sciences and technology / 001E Earth, ocean, space / 001E01 Earth sciences / 001E01M Internal geophysics / 001E01M04 Applied geophysics

Discipline
Earth sciences
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
17445293

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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