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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: Joseph N. Mait
  • Vol. 51, Iss. 14 — May. 10, 2012
  • pp: 2656–2663

Adaptive affinity propagation with spectral angle mapper for semi-supervised hyperspectral band selection

Hongjun Su, Yehua Sheng, Peijun Du, and Kui Liu  »View Author Affiliations


Applied Optics, Vol. 51, Issue 14, pp. 2656-2663 (2012)
http://dx.doi.org/10.1364/AO.51.002656


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Abstract

Band selection is a commonly used approach for dimensionality reduction in hyperspectral imagery. Affinity propagation (AP), a new clustering algorithm, is addressed in many fields, and it can be used for hyperspectral band selection. However, this algorithm cannot get a fixed number of exemplars during the message-passing procedure, which limits its uses to a great extent. This paper proposes an adaptive AP (AAP) algorithm for semi-supervised hyperspectral band selection and investigates the effectiveness of distance metrics for improving band selection. Specifically, the exemplar number determination algorithm and bisection method are addressed to improve AP procedure, and the relations between selected exemplar numbers and preferences are established. Experiments are conducted to evaluate the proposed AAP-based band selection algorithm, and the results demonstrate that the proposed method outperforms other popular methods, with lower computational cost and robust results.

© 2012 Optical Society of America

OCIS Codes
(100.2960) Image processing : Image analysis
(100.5010) Image processing : Pattern recognition
(300.6170) Spectroscopy : Spectra

ToC Category:
Image Processing

History
Original Manuscript: July 1, 2011
Revised Manuscript: March 9, 2012
Manuscript Accepted: March 12, 2012
Published: May 10, 2012

Citation
Hongjun Su, Yehua Sheng, Peijun Du, and Kui Liu, "Adaptive affinity propagation with spectral angle mapper for semi-supervised hyperspectral band selection," Appl. Opt. 51, 2656-2663 (2012)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-51-14-2656


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