Data Interpretation for Spectral Sensors with Correlated Bands
Document Type
Article
Publication Date
2007
Publisher
Optical Society of America
Source Publication
Journal of the Optical Society of America A
Source ISSN
1084-7529
Abstract
New classes of spectral sensors are emerging that have significant overlap in the band spectral response functions. While conventional sensors such as the Multispectral Thermal Images (MTI) or Landsat may have responses with a few percent overlap between adjacent bands, some of the emerging sensors can have more than 50% correlation among all spectral bands. The traditional geometrical models used to describe spectral data fail when such high levels of correlation exist. In this paper we present a generalized geometrical model that relies on functional analysis. We define a sensor space and a scene space that can be used to characterize the suitability of a sensor for a particular spectral sensing task. We demonstrate that classifiers based on first-order distance and angle metrics fail for sensors with highly correlated bands unless appropriate preprocessing is carried out. We further show that second-order statistical classifiers are largely immune to many of the problems introduced by the correlated band responses.
Recommended Citation
Wang, Zhipeng; Tyo, J. Scott; and Hayat, Majeed M., "Data Interpretation for Spectral Sensors with Correlated Bands" (2007). Electrical and Computer Engineering Faculty Research and Publications. 710.
https://epublications.marquette.edu/electric_fac/710
Comments
Journal of the Optical Society of America A, Vol. 24, No. 9 (2007): 2864-2870. DOI.
Majeed M. Hayat was affiliated with University of New Mexico, Albuquerque at the time of publication.