Automatic framework for spectral-spatial classification based on supervised feature extraction and morphological attribute profiles

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 7, Issue 6, 2014, Pages 2147-2160

  Ghamisi, Pedram ^a   Benediktsson, Jon Atli ^a   Cavallaro, Gabriele ^a   Plaza, Antonio ^b  

^a UNIVERSITY OF ICELAND   (Iceland)

^b UNIVERSITY OF EXTREMADURA   (Spain)

Author keywords

Extended Multi Attribute Profile (EMAP); hyperspectral image analysis; random forest classification; supervised feature extraction (FE)

Indexed keywords

DECISION TREES; FEATURE EXTRACTION; INDEPENDENT COMPONENT ANALYSIS; SPECTROSCOPY;

HYPERSPECTRAL IMAGE ANALYSIS; LAND USE AND LAND COVER; MULTI-ATTRIBUTES; RANDOM FOREST CLASSIFICATION; RANDOM FOREST CLASSIFIER; SPECTRAL-SPATIAL CLASSIFICATION; SUPERVISED CLASSIFICATION; SUPERVISED FEATURE EXTRACTIONS;

PHOTOMAPPING;

ALGORITHM; GEOMORPHOLOGY; IMAGE ANALYSIS; IMAGE CLASSIFICATION; LAND COVER; LAND USE; MULTISPECTRAL IMAGE; PIXEL;

EID: 84905903346     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2014.2298876     Document Type: Article

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