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Proceedings Paper

Processes for conducting HSI and MSI pan-sharpening with 3D digital flattening
Author(s): Tyler R. Peery; David Messinger
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Paper Abstract

Two-dimensional digital flattening was implemented on distorted 3D documents for the Rochester Cultural Heritage Imaging, Visualization, and Education (R-CHIVE) database, with the purpose of exploring new techniques to enhance usability among historians and analysts. This process was investigated with a minimal cost RGB scanner for implementation into a future hyperspectral system. Results from the flattening improved readability of the distorted document when compared to a simple nadir view. The flattening process was then combined with pan-chromatic sharpening to produce a high spatial and spectral resolution image removed of projective distortion. The effectiveness of processing order was investigated relative to spectral, spatial, and flattening accuracy. Flattening and then sharpening proved more accurate both spectrally and spatially, with 60% the spectral error and 80% less FWHM of its line spread function. Two flattening methods were investigated and again the flattening first method outperformed the sharpening then flattening method, this time by 38.7%. This suggests, for simple flattening requirements, sharpening the image first, applying it to the 3D model, and then flattening the model provides the most accurate results.

Paper Details

Date Published: 8 May 2018
PDF: 11 pages
Proc. SPIE 10644, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV, 106441W (8 May 2018); doi: 10.1117/12.2304375
Show Author Affiliations
Tyler R. Peery, Rochester Institute of Technology (United States)
David Messinger, Rochester Institute of Technology (United States)

Published in SPIE Proceedings Vol. 10644:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV
Miguel Velez-Reyes; David W. Messinger, Editor(s)

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