Semisupervised self-learning for hyperspectral image classification

IEEE Transactions on Geoscience and Remote Sensing

Volumn 51, Issue 7, 2013, Pages 4032-4044

  Dopido, Inmaculada ^a   Li, Jun ^a   Marpu, Prashanth Reddy ^b   Plaza, Antonio ^a   Bioucas Dias, Jose M ^c   Benediktsson, Jon Atli ^d  

^a UNIVERSITY OF EXTREMADURA   (Spain)

^b KHALIFA UNIVERSITY   (United Arab Emirates)

^c INSTITUTO SUPERIOR TÉCNICO   (Portugal)

^d UNIVERSITY OF ICELAND   (Iceland)

Author keywords

Hyperspectral image classification; multinomial logistic regression (MLR); probabilistic support vector machine (SVM); semisupervised self learning

Indexed keywords

ARTIFICIAL INTELLIGENCE; FIGHTER AIRCRAFT; HYPERSPECTRAL IMAGING; IMAGE ANALYSIS; INDEPENDENT COMPONENT ANALYSIS; INFRARED IMAGING; LEARNING ALGORITHMS; LEARNING SYSTEMS; NASA; PIXELS; REGRESSION ANALYSIS; SAMPLING; SPECTROSCOPY; SUPERVISED LEARNING; SUPPORT VECTOR MACHINES; THERMOGRAPHY (IMAGING); TRAINING AIRCRAFT;

ACTIVE LEARNING METHODS; AIRBORNE VISIBLE INFRARED IMAGING SPECTROMETER; HIGH-DIMENSIONAL IMAGES; JET PROPULSION LABORATORY; MULTINOMIAL LOGISTIC REGRESSION; SELF-LEARNING; SEMI- SUPERVISED LEARNING; SEMI-SUPERVISED LEARNING TECHNIQUES;

IMAGE CLASSIFICATION;

HUMAN ACTIVITY; IMAGE CLASSIFICATION; INSTRUMENTATION; MACHINERY; OBSERVATIONAL METHOD; PIXEL; REMOTE SENSING; SPECTRAL ANALYSIS;

EID: 84947648737     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2012.2228275     Document Type: Article

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