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A Vicarious Technique for Understanding and Diagnosing Hyperspectral Spatial Misregistration.

David N Conran1, Emmett J Ientilucci1

  • 1Chester F. Carlson Center for Imaging Science, Digital Imaging and Remote Sensing Laboratory, Rochester Institute of Technology, 54 Lomb Memorial Drive, Rochester, NY 14623, USA.

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This study introduces a novel convex mirror technique for testing hyperspectral imaging (HSI) systems. It accurately measures spatial misregistration in field conditions, improving upon lab-based methods for drone and satellite applications.

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Area of Science:

  • Remote Sensing
  • Optical Engineering
  • Spectroscopy

Background:

  • Pushbroom hyperspectral imaging (HSI) systems capture spectral data for each pixel.
  • Spatial misregistration affects spectral integrity and requires accurate characterization.
  • Existing laboratory tests do not account for real-world airborne platform conditions.

Purpose of the Study:

  • To develop and demonstrate a novel vicarious technique for field-based HSI performance testing.
  • To bridge the gap between laboratory and field testing of HSI systems.
  • To focus on extracting and understanding hyperspectral spatial misregistration.

Main Methods:

  • Utilized convex mirrors for a novel vicarious testing technique.
  • Developed a fast and simple extraction method for Point Spread Function (PSF) width and keystone.
  • Assessed off-axis spatial misregistration and compared it with on-axis behavior.
  • Exploited ortho-rectification errors using convex mirrors for fixed pushbroom HSI systems.

Main Results:

  • The convex mirror technique effectively measures hyperspectral spatial misregistration in field conditions.
  • Identified key contributors to spatial misregistration as a function of wavelength.
  • Demonstrated that off-axis performance can be assessed and compared to on-axis.
  • Showcased the utility of convex mirrors for analyzing ortho-rectification errors.

Conclusions:

  • The proposed vicarious technique offers a practical solution for field-based HSI system characterization.
  • This method is applicable to various airborne and satellite-based HSI systems, including UAVs.
  • Accurate spatial misregistration assessment is crucial for maintaining spectral integrity in HSI data.