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access icon free Enhanced multidimensional field embedding method by potential fields for hyperspectral image classification and visualisation

© The Institution of Engineering and Technology
Received 23/02/2018, Published 09/05/2018
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Multidimensional field embedding methods have been demonstrated to effectively characterise spectral signatures in hyperspectral images. However, high-dimensional data composed of a number of classes presents challenges to the existing embedding methods. This Letter proposes an enhanced multidimensional field embedding algorithm based on the force field formulation. The comparative performance of the proposed algorithm is evaluated in the classification and visualisation of commonly used hyperspectral images. Experimental results demonstrate its superiority over previously used field embedding techniques.

Inspec keywords: image classification; geophysical image processing; hyperspectral imaging

Other keywords: enhanced multidimensional field embedding method; hyperspectral image classification; spectral signature characteristics; force field formulation; visualisation

Subjects: Geophysics computing; Image recognition; Geophysical techniques and equipment; Computer vision and image processing techniques; Instrumentation and techniques for geophysical, hydrospheric and lower atmosphere research

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http://iet.metastore.ingenta.com/content/journals/10.1049/el.2018.0676
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