Identification of solid materials using HSI spectral oscillators

Cory L. Lanker; Milton O. Smith

doi:10.1117/12.2224337

17 May 2016 Identification of solid materials using HSI spectral oscillators

Cory L. Lanker, Milton O. Smith

Proceedings Volume 9840, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXII; 98400U (2016) https://doi.org/10.1117/12.2224337
Event: SPIE Defense + Security, 2016, Baltimore, MD, United States

Abstract

Our research aims to characterize solid materials through LWIR reﬂectance spectra in order to improve com-positional exploitation in a hyperspectral imaging (HSI) sensor data cube. Speciﬁcally, we aim to reduce false alarm rates when identifying target materials without compromising sensitivity. We employ dispersive analysis to extract the material oscillator resonances from reﬂectance spectra with a stepwise ﬁtting algorithm to estimate the Lorentz or Gaussian oscillators eﬀectively present in the HSI spectral measurements. The proposed algorithm operates through nonlinear least squares minimization through a grid search over potential oscillator resonance frequencies and widths. Experimental validation of the algorithm is performed with published values of crys-talline and amorphous materials. Our aim is to use the derived oscillator parameters to characterize the materials that are present in an HSI pixel. We demonstrate that there are material-speciﬁc properties of oscillators that show subtle variability when considering changes in morphology or measurement conditions. The experimentally veriﬁed results include variability in material particle size, measurement angle, and atmospheric conditions for six mineral measurements. Once a target material’s oscillators are characterized, we apply statistical learning techniques to form a classiﬁer based on the estimated spectral oscillators of the HSI pixels. We show that this approach has good initial identiﬁcation results that are extendible across localized experimental conditions.

Citation Download Citation

Cory L. Lanker and Milton O. Smith "Identification of solid materials using HSI spectral oscillators", Proc. SPIE 9840, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXII, 98400U (17 May 2016); https://doi.org/10.1117/12.2224337

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