Tree species discrimination in tropical forests using airborne imaging spectroscopy

IEEE Transactions on Geoscience and Remote Sensing

Volumn 51, Issue 1, 2013, Pages 73-84

  Feret, Jean Baptiste ^a   Asner, Gregory P ^a  

^a Carnegie Institute for Science   (United States)

Author keywords

Carnegie Airborne Observatory (CAO); hyperspectral imaging; image classification; tree species identification; tropical biodiversity

Indexed keywords

AIRBORNE IMAGING; BHATTACHARYYA DISTANCE; CANOPY SPECIES; CARNEGIE AIRBORNE OBSERVATORY (CAO); FREE PARAMETERS; HYPERSPECTRAL IMAGERY; HYPERSPECTRAL IMAGING; IMAGING SPECTROSCOPY; K-NEAREST NEIGHBORS; LINEAR DISCRIMINANT ANALYSIS; NONPARAMETRIC METHODS; OPTIMAL CLASSIFIERS; PARAMETRIC METHOD; RADIAL BASIS FUNCTIONS; REGULARIZED DISCRIMINANT ANALYSIS; SPATIAL INFORMATIONS; SPECIES CLASSIFICATION; SPECIES MAPPING; SPECIES RICHNESS; SPECTRAL SEPARABILITY; SUPERVISED CLASSIFICATION; SUPPORT VECTOR MACHINE CLASSIFICATION; TRAINING SAMPLE; TREE SPECIES; TROPICAL FOREST;

BIODIVERSITY; BUILDINGS; FACE RECOGNITION; IMAGE CLASSIFICATION; IMAGE RETRIEVAL; NEURAL NETWORKS; OBSERVATORIES; OPTIMIZATION; RADIAL BASIS FUNCTION NETWORKS; REMOTE SENSING; SPECTROSCOPY; SUPPORT VECTOR MACHINES;

FORESTRY;

AIRBORNE SENSING; ARTIFICIAL NEURAL NETWORK; ASSESSMENT METHOD; DISCRIMINANT ANALYSIS; IMAGE CLASSIFICATION; SEGMENTATION; SPECIES RICHNESS; SPECTRAL ANALYSIS; TROPICAL FOREST;

BIODIVERSITY; BUILDINGS; CLASSIFICATION; IDENTIFICATION; IMAGE ANALYSIS; NEURAL NETWORKS; REMOTE SENSING; TROPICAL ATMOSPHERES;

EID: 84871745702     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2012.2199323     Document Type: Article

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