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Missing module name in call for tid 'bibfields.AUTHOR': Bilgin, G. and Erturk, S. and Yildirim, T.

Segmentation of Hyperspectral Images via Subtractive Clustering and Cluster Validation Using One-Class Support Vector Machines

Journal: IEEE Transactions on Geoscience and Remote Sensing
Volume: 49
Year: 2011
Number: 8
Pages: 2936--2944

Missing module name in call for tid 'bibfields.KEYWORDS'

Current measurement,Hyperspectral images,Hyperspectral imaging,Image segmentation,K-nearest neighbor classification,Kernel,Pixel,Training,cluster contour definition feature,cluster validity method,geophysical image processing,image classification,image segmentation,one-class support vector (SV) machines (OC-SVMs),one-class support vector machine,pattern clustering,phase correlation,power of spectral discrimination,remote sensing,segmentation,subtractive clustering,support vector machines,unsupervised classification,unsupervised hyperspectral image segmentation

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