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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.
Sensors (Basel, Switzerland)
|May 13, 2023
Summary
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.
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.
Keywords:
SPSFUASUAVconvex mirrorshyperspectralimagingkeystonemultispectralsmall unmanned aircraft systemsspatial misregistration
