Picture of neon light reading 'Open'

Discover open research at Strathprints as part of International Open Access Week!

23-29 October 2017 is International Open Access Week. The Strathprints institutional repository is a digital archive of Open Access research outputs, all produced by University of Strathclyde researchers.

Explore recent world leading Open Access research content this Open Access Week from across Strathclyde's many research active faculties: Engineering, Science, Humanities, Arts & Social Sciences and Strathclyde Business School.

Explore all Strathclyde Open Access research outputs...

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

Rafert, J. Bruce and Zabalza, Jaime and Marshall, Stephen and Ren, Jinchang (2016) Singular spectrum analysis : a note on data processing for Fourier transform hyperspectral imagers. Applied Spectroscopy. ISSN 0003-7028 (In Press)

Text (Rafert-etal-AS-2016-Singular-spectrum-analysis-a-note-on-data-processing-for-Fourier)
Rafert_etal_AS_2016_Singular_spectrum_analysis_a_note_on_data_processing_for_Fourier.pdf - Accepted Author Manuscript

Download (1MB) | Preview


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.