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Imaging static Fourier transform spectrometry: impact of trajectory perturbations on the hyperspectral images

  • Varvara Chiliaeva
  • , Olivier Gazzano
  • , Yann Ferrec
  • , Hervé Sauer
  • , Andrés Almansa
  • , François Goudail
  • Laboratoire Charles Fabry
  • ONERA Office National d'Etudes et Recherches Aerospatiales
  • Laboratoire de Probabilités et Modèles Aléatoires

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Imaging static Fourier transform spectrometry (isFTS) may be used for pushbroom air- or spaceborne hyperspectral remote sensing. In isFTS, the spectral information is multiplexed over several instantaneous images, and numerical reconstruction is needed to recover the full spectrum for each pixel. The registration of instantaneous images is a crucial step. Unsufficient precision leads to artefacts on the images and degradation of the estimated spectra. We developed a simulation program of the entire processing chain of an isFTS system that can reproduce the degradations of actual isFTS images. Using this program we studied spatial and spectral effects of temporally correlated and uncorrelated trajectory perturbations. We also performed a theoretical study to quantify these degradations. We demonstrated that the most significant degradations occur in the regions of high radiance gradient.

Original languageEnglish
Title of host publicationInternational Conference on Space Optics, ICSO 2022
EditorsKyriaki Minoglou, Nikos Karafolas, Bruno Cugny
PublisherSPIE
ISBN (Electronic)9781510668034
DOIs
Publication statusPublished - 1 Jan 2023
Externally publishedYes
Event2022 International Conference on Space Optics, ICSO 2022 - Dubrovnik, Croatia
Duration: 3 Oct 20227 Oct 2022

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume12777
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference2022 International Conference on Space Optics, ICSO 2022
Country/TerritoryCroatia
CityDubrovnik
Period3/10/227/10/22

Keywords

  • Fourier transform spectrometry
  • hyperspectral imaging
  • image registration
  • remote sensing

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