Restoration of hyperspectral imagery

Alejandra Umaña-Díaz; Miguel Vélez-Reyes

doi:10.1117/12.667974

8 May 2006 Restoration of hyperspectral imagery

Alejandra Umaña-Díaz, Miguel Vélez-Reyes

Proceedings Volume 6233, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII; 62330A (2006) https://doi.org/10.1117/12.667974
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

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.

Citation Download Citation

Alejandra Umaña-Díaz and Miguel Vélez-Reyes "Restoration of hyperspectral imagery", Proc. SPIE 6233, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII, 62330A (8 May 2006); https://doi.org/10.1117/12.667974

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