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Proceedings Paper

Restoration of hyperspectral imagery
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Paper Abstract

In hyperspectral imaging, the quality of the collected spectral signatures can be degraded by blurring due to the channel weighting function of the imaging spectrometer. In this work, we are investigating reconstruction techniques to enhance salient features and remove degradation effects in measured spectra to assist in subsequent machine analysis. Here preliminary work is presented showing spectral restoration using simulated data and real data of the AVIRIS NW Indian Pines hyperspectral image using different restoration algorithms. The restored AVIRIS image was classified and the classification accuracy was used to assess the usefulness of the restoration process. All the methods gave comparable results with the Jansson method giving slightly higher classification accuracy.

Paper Details

Date Published: 8 May 2006
PDF: 10 pages
Proc. SPIE 6233, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII, 62330A (8 May 2006); doi: 10.1117/12.667974
Show Author Affiliations
Alejandra Umaña-Díaz, Univ. of Puerto Rico at Mayagüez (United States)
Miguel Vélez-Reyes, Univ. of Puerto Rico at Mayagüez (United States)


Published in SPIE Proceedings Vol. 6233:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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