Broadleaf species recognition with in situ hyperspectral data

International Journal of Remote Sensing

Volumn 30, Issue 11, 2009, Pages 2759-2779

  Pu, Ruiliang ^a  

^a UNIVERSITY OF SOUTH FLORIDA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DISCRIMINANT ANALYSIS; FORESTRY; NEURAL NETWORKS; REMOTE SENSING; VEGETATION; WATER ABSORPTION;

CLASSIFICATION ALGORITHM; ECOLOGICAL MANAGEMENTS; HYPERSPECTRAL MEASUREMENTS; LINEAR DISCRIMINANT ANALYSES (LDA); NONLINEAR ARTIFICIAL NEURAL NETWORKS; REMOTE SENSING TECHNIQUES; SPECTRAL ABSORPTION FEATURES; SPECTRAL VEGETATION INDICES;

ANALYSIS OF VARIANCE (ANOVA);

ALGORITHM; ARTIFICIAL NEURAL NETWORK; BROAD-LEAVED FOREST; CHLOROPHYLL; DISCRIMINANT ANALYSIS; IN SITU MEASUREMENT; SPECTRAL ANALYSIS; SPECTRAL REFLECTANCE; URBAN FORESTRY;

ANALYSIS OF VARIANCE; CHLOROPHYLLS; DISCRIMINANT ANALYSIS; FORESTRY; MOISTURE CONTENT; NEURAL NETWORKS; REGRESSION ANALYSIS; WATER ABSORPTION;

FLORIDA [UNITED STATES]; NORTH AMERICA; TAMPA; UNITED STATES;

ACER RUBRUM; DIOSPYROS; DIOSPYROS VIRGINIANA; LAGERSTROEMIA INDICA; MAGNOLIA GRANDIFLORA; PLATANUS OCCIDENTALIS; QUERCUS CERRIS; QUERCUS GEMINATA; QUERCUS IMBRICARIA; QUERCUS INCANA; QUERCUS VIRGINIANA; ULMUS AMERICANA;

EID: 70449380720     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160802555820     Document Type: Article

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