Taxonomy of detection algorithms for hyperspectral imaging applications

Dimitris G. Manolakis

doi:10.1117/1.1930927

1 June 2005 Taxonomy of detection algorithms for hyperspectral imaging applications

Dimitris G. Manolakis

Author Affiliations +

Optical Engineering, Vol. 44, Issue 6, 066403 (June 2005). https://doi.org/10.1117/1.1930927

Abstract

A unified, simplified, and concise overview of spectral target detection algorithms for hyperspectral imaging applications is presented. We focus on detection algorithms derived using established statistical techniques and whose performance is predictable under reasonable assumptions about hyperspectral imaging data. The emphasis on a signal processing perspective enables us to better understand the strengths and limitations of each algorithm, avoid unrealistic performance expectations, and apply an algorithm properly and sensibly.

©(2005) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Dimitris G. Manolakis "Taxonomy of detection algorithms for hyperspectral imaging applications," Optical Engineering 44(6), 066403 (1 June 2005). https://doi.org/10.1117/1.1930927

Published: 1 June 2005

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