Squeezed signature analysis hyperspectral classification

Seldon O. Morgan; Richard B. Gomez; William E. Roper

doi:10.1117/12.502414

14 August 2003 Squeezed signature analysis hyperspectral classification

Seldon O. Morgan, Richard B. Gomez, William E. Roper

Proceedings Volume 5097, Geo-Spatial and Temporal Image and Data Exploitation III; (2003) https://doi.org/10.1117/12.502414
Event: AeroSense 2003, 2003, Orlando, Florida, United States

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.

Citation Download Citation

Seldon O. Morgan, Richard B. Gomez, and William E. Roper "Squeezed signature analysis hyperspectral classification", Proc. SPIE 5097, Geo-Spatial and Temporal Image and Data Exploitation III, (14 August 2003); https://doi.org/10.1117/12.502414

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