Picture of smart phone in human hand

World leading smartphone and mobile technology research at Strathclyde...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including by Strathclyde researchers from the Department of Computer & Information Sciences involved in researching exciting new applications for mobile and smartphone technology. But the transformative application of mobile technologies is also the focus of research within disciplines as diverse as Electronic & Electrical Engineering, Marketing, Human Resource Management and Biomedical Enginering, among others.

Explore Strathclyde's Open Access research on smartphone technology now...

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)

[img]
Preview
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

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.