Discovering diverse subset for unsupervised hyperspectral band selection

IEEE Transactions on Image Processing

Volumn 26, Issue 1, 2017, Pages 51-64

  Yuan, Yuan ^a   Zheng, Xiangtao ^a   Lu, Xiaoqiang ^a  

^a XI AN INSTITUTE OF OPTICS AND PRECISION MECHANICS   (China)

Author keywords

anomaly detection, target detection; determinantal point process; Hyperspectral band selection; hyperspectral image classification; multiple graphs

Indexed keywords

HYPERSPECTRAL IMAGING; SIGNAL DETECTION; SPECTROSCOPY; SPEECH RECOGNITION;

ANOMALY DETECTION; BAND SELECTION; COMPUTATIONAL BURDEN; FEATURE SELECTION PROBLEM; HYPER-SPECTRAL CLASSIFICATION; MULTIPLE DEPENDENCIES; MULTIPLE GRAPHS; POINT PROCESS;

RADAR TARGET RECOGNITION;

ARTICLE; ATTENTION; FEATURE SELECTION; PROCESS MODEL; RELIABILITY;

EID: 85011976703     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2016.2617462     Document Type: Article

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