Investigation of the random forest framework for classification of hyperspectral data

IEEE Transactions on Geoscience and Remote Sensing

Volumn 43, Issue 3, 2005, Pages 492-501

  Ham, JiSoo ^a   Chen, Yangchi ^a   Crawford, Melba M ^a   Ghosh, Joydeep ^a  

^a The University of Texas at Austin   (United States)

Author keywords

Binary hierarchical classifier (BHC); Classification; Classification and regression trees (CART); Hyperion; Hyperspectral; Okavango Delta; Random forests; Random subspace feature selection

Indexed keywords

CLASSIFICATION (OF INFORMATION); FEATURE EXTRACTION; FORESTRY; IMAGE ANALYSIS; IMAGE SENSORS; PERSONNEL TRAINING; SHRINKAGE; SOCIETIES AND INSTITUTIONS;

BINARY HIERARCHICAL CLASSIFIER (BHC); CLASSIFICATION AND REGRESSION TREES (CART); FEATURE SELECTION; HYPERION; HYPERSPECTRAL; OKAVANGO DELTA; RANDOM FORESTS; RANDOM SUBSPACE;

REMOTE SENSING;

CLASSIFICATION; EDUCATION; FORESTRY; IMAGE ANALYSIS; PERSONNEL; REMOTE SENSING; SENSORS; SHRINKAGE;

EID: 14644421528     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2004.842481     Document Type: Conference Paper

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