Ensemble strategies for classifying hyperspectral remote sensing data

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5519 LNCS, Issue , 2009, Pages 62-71

  Ceamanos, Xavier ^a   Waske, Björn ^b   Benediktsson, Jón Atli ^b   Chanussot, Jocelyn ^a   Sveinsson, Johannes R ^b  

^a GRENOBLE INSTITUTE OF TECHNOLOGY   (France)

^b UNIVERSITY OF ICELAND   (Iceland)

Author keywords

Classifier ensmeble; Hyperspectral; Land cover classification; Multiple classifier systems; Support vector machines

Indexed keywords

CLASSIFICATION RESULTS; CLASSIFIER ENSEMBLES; DATA SETS; ENSEMBLE STRATEGIES; FEATURE SUBSET; FINAL DECISION; HYPERSPECTRAL; HYPERSPECTRAL IMAGERY; HYPERSPECTRAL REMOTE SENSING DATA; LAND COVER CLASSIFICATION; MULTIPLE CLASSIFIER SYSTEMS; RANDOM FORESTS; SPECTRAL BAND; SVM CLASSIFIERS;

IMAGE CLASSIFICATION; IMAGE RETRIEVAL; LANDFORMS; REMOTE SENSING; SUPPORT VECTOR MACHINES;

CLASSIFIERS;

EID: 70349338920     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02326-2_7     Document Type: Conference Paper

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