Mapping of hyperspectral AVIRIS data using machine-learning algorithms

Canadian Journal of Remote Sensing

Volumn 35, Issue , 2009, Pages S106-S116

  Waske, Bjün ^a   Benediktsson, Jon Atli ^a   Arnason, Kolbeinn ^a   Sveinsson, Johannes R ^b  

^a UNIVERSITY OF ICELAND   (Iceland)

^b National Land Survey of Iceland   (Iceland)

Author keywords

[No Author keywords available]

Indexed keywords

AIRBORNE VISIBLE/INFRARED IMAGING SPECTROMETERS; ALTERNATIVE METHODS; AVIRIS DATA; CLASSIFICATION RESULTS; CLASSIFIER ALGORITHMS; DATA SETS; GLOBAL PERFORMANCE; HYPERSPECTRAL; HYPERSPECTRAL DATA; HYPERSPECTRAL IMAGING; ICELANDS; LAND COVER; MACHINE LEARNING ALGORITHMS; MAXIMUM LIKELIHOOD CLASSIFIERS; RANDOM FORESTS; SPATIAL INFORMATIONS; SPECTRAL ANGLE MAPPERS; STATISTICAL CLASSIFICATION METHODS; SURFACE MATERIALS; TWO MACHINES;

CLASSIFIERS; INFRARED SPECTROMETERS; MAXIMUM LIKELIHOOD; SUPPORT VECTOR MACHINES;

LEARNING ALGORITHMS;

EID: 77953005976     PISSN: 07038992     EISSN: 17127971     Source Type: Journal    
DOI: 10.5589/m09-018     Document Type: Editorial

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