Singular spectrum analysis: a note on data processing for Fourier transform hyperspectral imagers

Research output: Contribution to journalArticle

Abstract

Hyperspectral remote sensing is experiencing a dazzling proliferation of new sensors, platforms, sys tems, 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 wi thout 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 ima gery collected with FT imagers that addresses some of the data processing issues associated with FT instruments including the need to remove low frequency variations in the interferogram that are introduced by the optical system, as well as high frequency variations that lay outside the detector band pass. Synthetic interferogram data is analyzed using SSA, which adaptively decomposes the original synthetic interferogram into several independent components associated with the signal, photon and system nois e, and the field illumination pattern.
LanguageEnglish
Number of pages10
JournalApplied Spectroscopy
Publication statusAccepted/In press - 2 Feb 2016

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Image sensors
Spectrum analysis
spectrum analysis
Fourier transforms
interferometry
sensors
Sensors
low weight
Spectral resolution
Optical systems
spectral resolution
slits
remote sensing
Remote sensing
Photons
Physics
platforms
spatial resolution
Lighting
illumination

Keywords

  • hyperspectral imagers
  • Fourier transform
  • data processing

Cite this

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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, sys tems, 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 wi thout 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 ima gery collected with FT imagers that addresses some of the data processing issues associated with FT instruments including the need to remove low frequency variations in the interferogram that are introduced by the optical system, as well as high frequency variations that lay outside the detector band pass. Synthetic interferogram data is analyzed using SSA, which adaptively decomposes the original synthetic interferogram into several independent components associated with the signal, photon and system nois e, and the field illumination pattern.",
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