Segmented canonical discriminant analysis of in situ hyperspectral data for identifying 13 urban tree species

International Journal of Remote Sensing

Volumn 32, Issue 8, 2011, Pages 2207-2226

  Pu, Ruiliang ^a   Liu, Desheng ^b  

^a UNIVERSITY OF SOUTH FLORIDA   (United States)

^b OHIO STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DISCRIMINANT ANALYSIS; EXTRACTION; FEATURE EXTRACTION; FORESTRY; INFRARED DEVICES; LAND USE; REMOTE SENSING; SAMPLING;

CANONICAL DISCRIMINANT ANALYSIS; DIMENSION REDUCTION; DISCRIMINATE ANALYSIS; HYPERSPECTRAL REMOTE SENSING DATA; LAND USE/LAND COVER; LINEAR DISCRIMINATE ANALYSIS; SPECIES IDENTIFICATION; THREE DIFFERENT TECHNIQUES;

PRINCIPAL COMPONENT ANALYSIS;

CANONICAL ANALYSIS; DISCRIMINANT ANALYSIS; FOREST COVER; LAND COVER; LAND USE; PRINCIPAL COMPONENT ANALYSIS; REMOTE SENSING; SPECTRAL ANALYSIS; TREE; URBAN FORESTRY;

FLORIDA [UNITED STATES]; TAMPA; UNITED STATES;

CONIFEROPHYTA;

EID: 79957471285     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161003692040     Document Type: Article

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