Phase-correlation-based hyperspectral image classification using multiple class representatives obtained with k-means clustering

International Journal of Remote Sensing

Volumn 30, Issue 14, 2009, Pages 3827-3834

  Cesmeci D ^a   Gullu M K ^a  

^a KOCAELI UNIVERSITY   (Turkey)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE CLASSIFICATION; PIXELS; SPECTROSCOPY;

ADAPTIVE APPROACH; ADAPTIVE METHODS; CLASSIFICATION ACCURACY; HYPERSPECTRAL DATA; K - MEANS CLUSTERING; PHASE CORRELATION; SPECTRAL SIMILARITY; SUPERVISED CLASSIFICATION;

MICROCOMPUTERS;

EID: 70449409296     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160902777183     Document Type: Letter

References (8)

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2. DEMIR, B. and ERTÜRK, S., 2007, Phase correlation based supervised classification of hyperspectral images using multiple class representatives. In International Conference on Geoscience and Remote Sensing Symposium (IGARSS'07), Barcelona, Spain, pp. 2822-2824. Available at: http://kulis.kou.edu.tr/pub/igarss07_classrepresentatives.pdf.
3. DEMIR, B. and ERTÜRK, S., 2008, Improved classification and segmentation of hyperspectral images using spectral warping. International Journal of Remote Sensing, 29, pp. 3657-3663.
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8. URHAN, O., GÜLLÜ, M.K. and ERTÜRK, S., 2006, Modified phase-correlation based robust hard-cut detection with application to archive film. IEEE Transactions on Circuits Systems for Video Technology, 16, pp. 753-770.