title: Singular Spectrum Analysis: A Note on Data Processing for Fourier Transform Hyperspectral Imagers.
abstract: Hyperspectral remote sensing is experiencing a dazzling proliferation of new sensors, platforms, systems, and applications with the introduction of novel, low-cost, low-weight sensors. Curiously, relatively little development is now occurring in the use of Fourier transform (FT) systems, which have the potential to operate at extremely high throughput without use of a slit or reductions in both spatial and spectral resolution that thin film based mosaic sensors introduce. This study introduces a new physics-based analytical framework called singular spectrum analysis (SSA) to process raw hyperspectral imagery collected with FT imagers that addresses some of the data processing issues associated with the use of the inverse FT. Synthetic interferogram data are analyzed using SSA, which adaptively decomposes the original synthetic interferogram into several independent components associated with the signal, photon and system noise, and the field illumination pattern.
authors.affiliation: Department of Physics, North Dakota State University, Fargo, North Dakota, USA bruce.rafert@ndsu.edu.
authors.forename: J Bruce
authors.initials: JB
authors.lastname: Rafert
authors.affiliation: Department of Electronic and Electrical Engineering, Strathclyde University, Glasgow, UK.
authors.forename: Jaime
authors.initials: J
authors.lastname: Zabalza
authors.affiliation: Department of Electronic and Electrical Engineering, Strathclyde University, Glasgow, UK.
authors.forename: Stephen
authors.initials: S
authors.lastname: Marshall
authors.affiliation: Department of Electronic and Electrical Engineering, Strathclyde University, Glasgow, UK.
authors.forename: Jinchang
authors.initials: J
authors.lastname: Ren
keywords: Fourier transform imagers; Hyperspectral image processing; Singular spectrum analysis