Wavelet-Domain Multiview Active Learning for Spatial-Spectral Hyperspectral Image Classification

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

Volumn 9, Issue 9, 2016, Pages 4047-4059

  Zhou, Xiong ^a   Prasad, Saurabh ^a   Crawford, Melba M ^b  

^a UNIVERSITY OF HOUSTON   (United States)

^b PURDUE UNIVERSITY   (United States)

Author keywords

Active learning; hyperspectral image classification; multiview (MV); redundant discrete wavelet transform; spatial information

Indexed keywords

ADDITIVE NOISE; ALUMINUM; ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); DISCRETE WAVELET TRANSFORMS; INDEPENDENT COMPONENT ANALYSIS; SPECTROSCOPY; WAVELET ANALYSIS; WAVELET TRANSFORMS;

ACTIVE LEARNING; HYPER-SPECTRAL IMAGERIES; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL IMAGE CLASSIFICATION; REDUNDANT WAVELET TRANSFORM; SPATIAL FEATURES; SPATIAL INFORMATIONS; TRAINING SAMPLE;

IMAGE CLASSIFICATION;

DATA SET; IMAGE CLASSIFICATION; PERFORMANCE ASSESSMENT; PIXEL; SPATIAL RESOLUTION; SPECTRAL RESOLUTION; THREE-DIMENSIONAL MODELING; TRANSFORM;

EID: 84964454354     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2016.2552998     Document Type: Article

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