Unsupervised Feature Learning for Land-Use Scene Recognition

IEEE Transactions on Geoscience and Remote Sensing

Volumn 55, Issue 4, 2017, Pages 2250-2261

  Fan, Jiayuan ^a   Chen, Tao ^a   Lu, Shijian ^a  

^a INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

Author keywords

Remote sensing; scene recognition; sparse representation; very high resolution (VHR)

Indexed keywords

CODES (SYMBOLS); IMAGE CODING; IMAGE RESOLUTION; INFRARED DEVICES; LEARNING ALGORITHMS; REMOTE SENSING;

BAG-OF-VISUAL-WORDS; FEATURE DESCRIPTORS; LOW-LEVEL FEATURES; SCALE INVARIANT FEATURE TRANSFORMS; SPATIAL RESOLUTION; STATE-OF-THE-ART METHODS; UNSUPERVISED FEATURE LEARNING; VERY HIGH RESOLUTION;

LAND USE;

ALGORITHM; AVHRR; DISCRIMINANT ANALYSIS; INFRARED IMAGERY; LAND USE; LEARNING; REMOTE SENSING; SATELLITE IMAGERY; SPATIAL RESOLUTION; UNSUPERVISED CLASSIFICATION;

MARINA BAY [SINGAPORE]; SINGAPORE [SOUTHEAST ASIA];

EID: 85009844389     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2016.2640186     Document Type: Article

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