Determining smile and keystone of hyperspectral lab cameras

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Abstract

Modern imaging spectrometers are compact, low weight, reasonably priced, and can be used in the laboratory. Accurate hyperspectral images require low noise, high calibration accuracy, and high response uniformity. Due to ageing of the optical and electronic components a periodic check is recommended. This paper presents a method for measuring the smile and keystone geometric distortions from test images. Measurements are obtained by using simple models for the smile and keystone, and existing SciPy functions for quadratic spline interpolation, normalized cross-correlation, and optimization to quickly find a solution for the models. Results show that the smile and keystone of a laboratory imaging spectrometer can be obtained with sub-pixel accuracy.

Original languageEnglish
Title of host publication2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)
Place of PublicationAmsterdam
PublisherIEEE
Pages1-5
Number of pages5
ISBN (Electronic)978-1-7281-5294-3
DOIs
Publication statusPublished - Sep 2019
Event10th Workshop on Hyperspectral Imaging and Signal Processing, WHISPERS 2019: Evolution in Remote Sensing - Beurs van Berlage, Amsterdam, Netherlands
Duration: 24 Sep 201926 Sep 2019

Conference

Conference10th Workshop on Hyperspectral Imaging and Signal Processing, WHISPERS 2019
Abbreviated titleWHISPERS 2019
CountryNetherlands
CityAmsterdam
Period24/09/1926/09/19

Keywords

  • Imaging spectrometry
  • line cameras
  • smile
  • keystone
  • optical distortion
  • interpolation
  • instruments

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