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Proceedings Paper

Comparison of quantitative analysis techniques to discriminate intimately mixed bidirectional laboratory reflectance spectra
Author(s): Terry L. Nichols; John K. Thomas; Wolfgang Kober; Vincent J. Velten
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Paper Abstract

In this paper we evaluate the ability of the Matched Subspace Detector (MSD), Matched Filter Detector (MFD) and Orthogonal Subspace Projection (OSP) to discriminate material types in laboratory samples of intimately mixed bidirectional reflectance data. The analysis consists of a series of experiments where bidirectional reflectance spectra of intimate mixtures of enstatite-olivine and anorthite-olivine in various proportions are converted to single scattering albedo (SSA) using Hapke's model for bidirectional reflectance. The linearized SSA spectra are used as inputs to the various detectors and the output for each is evaluated as a function of the proportion of target- to-interference. Results are presented as a series of figures that show overall the MSD has a higher target-to- background separation (i.e., better class separation) than either the MFD or OSP. This target-to-background separation results in fewer false alarms for the MSD than either of the other two detectors.

Paper Details

Date Published: 16 July 1999
PDF: 12 pages
Proc. SPIE 3717, Algorithms for Multispectral and Hyperspectral Imagery V, (16 July 1999); doi: 10.1117/12.353025
Show Author Affiliations
Terry L. Nichols, Data Fusion Corp. (United States)
John K. Thomas, Data Fusion Corp. (United States)
Wolfgang Kober, Data Fusion Corp. (United States)
Vincent J. Velten, Air Force Research Lab. (United States)


Published in SPIE Proceedings Vol. 3717:
Algorithms for Multispectral and Hyperspectral Imagery V
Sylvia S. Shen; Michael R. Descour, Editor(s)

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