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SPECIAL ISSUE Sensor band selection for multispectral imaging via average

Sensor band selection for multispectral imaging via average
normalized information
Hongzhi Wang Ĉ Elli Angelopoulou
Received: 8 June 2006 / Accepted: 13 October 2006 / Published online: 29 November 2006
Ó Springer-Verlag 2006
Abstract The information-rich scene descriptors cre-
ated by multispectral sensors can act as a bottleneck in
further analysis, e.g., real-time scene capturing. Many
of the spectral band selection methods treat the two
underlying tasks (feature bands selection and redun-
dancy reduction) in isolation. Furthermore, the major-
ity of the work assumes reflectance data. However, the
captured surface radiance varies with scene geometry
and illumination. We propose a new band selection
method, which uses spectral gradient entropy to choose
bands that are more stable to such variations. Equally
important, our measurement, the average normalized
information (ANI) of a set of selected bands, combines
feature band selection and band redundancy together.


Source: Angelopoulou, Elli - Department of Computer Science, Friedrich Alexander University Erlangen Nürnberg


Collections: Computer Technologies and Information Sciences