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Proceedings Paper

Squeezed signature analysis hyperspectral classification
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Paper Abstract

The Squeezed Signature Analysis (SSA) hyperspectral classification method is presented as a fast method to compare the target spectral signature to all the signatures in the spectral library. This discussion includes the possible use of this technique on-board a hypothetical remote sensing system that could take advantage of parallel computations.

Paper Details

Date Published: 14 August 2003
PDF: 9 pages
Proc. SPIE 5097, Geo-Spatial and Temporal Image and Data Exploitation III, (14 August 2003); doi: 10.1117/12.502414
Show Author Affiliations
Seldon O. Morgan, George Mason Univ. (United States)
Richard B. Gomez, George Mason Univ. (United States)
William E. Roper, George Washington Univ. (United States)

Published in SPIE Proceedings Vol. 5097:
Geo-Spatial and Temporal Image and Data Exploitation III
Nickolas L. Faust; William E. Roper, Editor(s)

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