Share Email Print

Proceedings Paper

Effects of sharpening on hyperspectral exploitation
Author(s): Sylvia S. Shen
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

This paper describes a study effort to investigate the impact of SHARP (Sharpening Hyperspectral and Reprojection), a hyperspectral sharpening algorithm, on the utility of the sharpened data for nonliteral exploitation for the 0.4 to 0.9 micron wavelength region. The goals are to investigate if SHARP maintains radiometric integrity and to quantify its effects on various exploitation applications. Reduced spatial resolution hyperspectral data cubes and panchromatic images were generated from HYDICE (Hyperspectral Digital Imagery Collection Experiment) data cubes. SHARP was applied to each panchromatic image and reduced spatial resolution hyperspectral cube pair ro produce a sharpened hyperspectral cube of the same spatial resolution as the panchromatic image. Two nonliteral exploitation functions (i.e. anomaly detection and material identification) were performed on the reduced spatial resolution hyperspectral cubes, the sharpened hyperspectral cubes, and the original HYDICE cubes to facilitate performance comparison. Results showed that sharpening a lower spatial resolution hyperspectral cube with a higher spatial resolution panchromatic image can not fully recover the capability provided by the original higher spatial resolution cube to detect anomalies or identify materials. Results also showed that such fusion can outperform the use of the lower spatial resolution hyperspectral cube by itself, but only for anomaly detection in a desert scene. Sharpening did not improve anomaly detection in a forest scene, nor did it improve material identification in either setting. Results also indicated that although SHARP has maintained the visual interpretability of the data, it did not preserve the radiometric fidelity crucial to nonliteral exploitation.

Paper Details

Date Published: 2 August 2002
PDF: 12 pages
Proc. SPIE 4725, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery VIII, (2 August 2002); doi: 10.1117/12.478791
Show Author Affiliations
Sylvia S. Shen, The Aerospace Corp. (United States)

Published in SPIE Proceedings Vol. 4725:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery VIII
Sylvia S. Shen; Paul E. Lewis, Editor(s)

© SPIE. Terms of Use
Back to Top