A novel semi-supervised learning framework for hyperspectral image classification

International Journal of Wavelets, Multiresolution and Information Processing

Volumn 14, Issue 2, 2016, Pages

  Ye, Zhijing ^a   Li, Hong ^a   Song, Yalong ^a   Wang, Jianzhong ^b   Benediktsson, Jon Atli ^c  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b SAM HOUSTON STATE UNIVERSITY   (United States)

^c UNIVERSITY OF ICELAND   (Iceland)

Author keywords

boxed based smooth ordering; Hyperspectral image classification; multiple 1D embedding based interpolation; semi supervised learning

Indexed keywords

INDEPENDENT COMPONENT ANALYSIS; INTERPOLATION; PIXELS; SPECTROSCOPY; SUPERVISED LEARNING;

ADAPTIVE INTERPOLATION; BOXED-BASED SMOOTH ORDERING; CLASSIFICATION FRAMEWORK; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL IMAGE CLASSIFICATION; SEMI- SUPERVISED LEARNING; SEMI-SUPERVISED METHOD; SPATIAL INFORMATIONS;

IMAGE CLASSIFICATION;

EID: 84959248120     PISSN: 02196913     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0219691316400051     Document Type: Article

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