High-resolution hyperspectral imager based on tunable Fabry-Pérot interferometer filter technology

Alexander Kokka (Corresponding author), Hans Toivanen, Rami Mannila, Antti Näsilä

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

3 Citations (Scopus)


This paper presents a high-resolution dual-camera hyperspectral imager based on tunable Fabry-Pérot interferometer filter technology. By using this type of filter technology as the bandpass filter of the camera, conventional 2D image sensors can be employed to capture spectrally resolved image data. The hyperspectral instrument developed in this study consists of one camera for visible and near-infrared wavelength range, and another camera for short-wave infrared wavelength region. Both cameras are equipped with optics for high spatial resolution. In airborne measurements from an altitude of 1 km, the ground sample distance of the instrument is 6 cm and 10 cm for the visible and near-infrared camera and for the short-wave infrared camera, respectively. As a use-case example, hyperspectral airborne measurements from a helicopter are presented, along with the routine for preprocessing hyperspectral frame data captured from a moving platform.
Original languageEnglish
Title of host publicationPhotonic Instrumentation Engineering IX
EditorsLynda E. Busse, Yakov Soskind, Patrick C. Mock
PublisherInternational Society for Optics and Photonics SPIE
Number of pages8
ISBN (Electronic)9781510648876
Publication statusPublished - 5 Mar 2022
MoE publication typeA4 Article in a conference publication
EventPhotonic Instrumentation Engineering IX: Online - Virtual, San Francisco, United States
Duration: 20 Feb 202224 Feb 2022

Publication series

SeriesProceedings of SPIE - The International Society for Optical Engineering


ConferencePhotonic Instrumentation Engineering IX
Country/TerritoryUnited States
CitySan Francisco


  • Camera
  • Earth observation
  • Fabry-Pérot
  • FPI
  • Hyperspectral
  • Remote sensing
  • SWIR
  • VNIR


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