Class-Separation-Based Rotation Forest for Hyperspectral Image Classification

IEEE Geoscience and Remote Sensing Letters

Volumn 13, Issue 4, 2016, Pages 584-588

  Xia, Junshi ^a   Falco, Nicola ^b   Benediktsson, Jón Atli ^b   Chanussot, Jocelyn ^b,c   Du, Peijun ^d  

^a UNIVERSITÉ DE BORDEAUX   (France)

^b UNIVERSITY OF ICELAND   (Iceland)

^c GIPSA LAB   (France)

^d NANJING UNIVERSITY   (China)

Author keywords

Class separation; classification; hyperspectral image; rotation forest (RoF)

Indexed keywords

DATA MINING; DECISION TREES; IMAGE PROCESSING; INDEPENDENT COMPONENT ANALYSIS; LINEAR TRANSFORMATIONS; METADATA; PRINCIPAL COMPONENT ANALYSIS; SAMPLING; SPECTROSCOPY;

AIRBORNE VISIBLE/INFRARED IMAGING SPECTROMETERS; BASE CLASSIFIERS; DATA TRANSFORMATION; DECISION TREE CLASSIFIERS; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL IMAGE CLASSIFICATION; PIXELWISE CLASSIFICATION; TRANSFORMATION MATRICES;

IMAGE CLASSIFICATION;

EID: 84960155938     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2016.2528043     Document Type: Article

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