2011
DOI: 10.1364/ol.36.002444
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Inverse problem approaches for stationary Fourier transform spectrometers

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Cited by 8 publications
(7 citation statements)
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“…Therefore the 1D interferogram is not a perfect sinusoïd and a simple Fourier transform is not efficient enough to retrieve the spectrum. Within future work, we plan to use inverse problem approaches (proposed in [5]) to obtain the spectrum of the observed scene with a higher accuracy.…”
Section: Image Processing and Firsts Resultsmentioning
confidence: 99%
“…Therefore the 1D interferogram is not a perfect sinusoïd and a simple Fourier transform is not efficient enough to retrieve the spectrum. Within future work, we plan to use inverse problem approaches (proposed in [5]) to obtain the spectrum of the observed scene with a higher accuracy.…”
Section: Image Processing and Firsts Resultsmentioning
confidence: 99%
“…It consists in producing hyperspectral maps of responses by use of a commercial FTIR spectrometer [10]. An inverse-problem approach is then used to get the spectrum of an unknown source departing from the experimental interferogram and the calibration data [11]. Figure 2 shows examples of hyperspectral data obtained by both TV/4-and TV-FTIR-FPAs.…”
Section: Microspoc: Fundamental Propertiesmentioning
confidence: 99%
“…Indeed, since Microspoc is a static interferometer, it is difficult to separate the components of the residual fixed pattern noise at the spatial frequencies of the interference fringes from the true interference fringes created by the source. Furthermore, the quality of the hyperspectral maps used for the inversion (see [11] and end of section 2) is also crucial, even at spatial frequencies different from the interference fringes. Therefore, in order to reduce this residual fixed pattern noise, two main lines will be followed.…”
Section: Microspoc: Fundamental Propertiesmentioning
confidence: 99%
“…In this paper, we propose another solution based on inversion methods [4], that widely reduces the impact of the disparities of the cut-off wavenumbers over the spectrum. We choose to illustrate the potential of this method by numerical simulations, based on a realistic description of an IRFPA (see Section 3).…”
Section: Introductionmentioning
confidence: 99%