Clutter characterization algorithms for Fourier transform hyperspectral imagers

Robert D. Sears; James C. Fraser; M. Winings; Leonard John Otten III; Theodore S. Turner Jr.; John R. O'Hair

doi:10.1117/12.280590

4 August 1997 Clutter characterization algorithms for Fourier transform hyperspectral imagers

Robert D. Sears, James C. Fraser, M. Winings, Leonard John Otten III, Theodore S. Turner Jr., John R. O'Hair

Proceedings Volume 3071, Algorithms for Multispectral and Hyperspectral Imagery III; (1997) https://doi.org/10.1117/12.280590
Event: AeroSense '97, 1997, Orlando, FL, United States

Abstract

Background clutter and target signatures have traditionally been described by parameters derived form measurements of spatial structure and spectral ratios derived from fixed spectral bandpass images. The advent of hyperspectral imagery requires descriptions of background clutter in a mixed wavelength-spatial or Fourier-transformed (FT) spectral - spatial framework because the data stream may contain simultaneous spatial - spectral, or FT spectral - spatial clutter components. We have developed and tested analytical routines for characterizing the background clutter and target signatures observed by Fourier-transform instruments, without requiring production of a hyperspectral data cube having spectra wavelength and 2D spatial image dimensions. The Kestrel Fourier-transform hyper spectral imager, a Sagnac format interferometer produces a data stream consisting of the Fourier spectra of the background in the in-track focal plane dimension and the spatial information int he cross-track dimension. The temporal data stream thus consists of a time series of frames in FT- spectral vs. spatial dimensions. Spectral wavelength filtering and guard-band subtraction can be accomplished in FT space by binary shift and add algorithms without prior transformation of the data into a hyperspectral data cube. Spatial filtering in the cross track dimension can similarly benefit from efficient binary operations. This paper summarizes some of the target and background clutter characterization algorithms developed and their evaluation against an example atmospheric gas detection scenario.

Citation Download Citation

Robert D. Sears, James C. Fraser, M. Winings, Leonard John Otten III, Theodore S. Turner Jr., and John R. O'Hair "Clutter characterization algorithms for Fourier transform hyperspectral imagers", Proc. SPIE 3071, Algorithms for Multispectral and Hyperspectral Imagery III, (4 August 1997); https://doi.org/10.1117/12.280590

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KEYWORDS

Fourier transforms

Optical filters

Binary data

Imaging systems

Hyperspectral imaging

Absorption

Chlorine

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