Is there a best hyperspectral detection algorithm?

D. Manolakis; R. Lockwood; T. Cooley; J. Jacobson

doi:10.1117/12.816917

27 April 2009 Is there a best hyperspectral detection algorithm?

D. Manolakis, R. Lockwood, T. Cooley, J. Jacobson

Proceedings Volume 7334, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV; 733402 (2009) https://doi.org/10.1117/12.816917
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

Abstract

A large number of hyperspectral detection algorithms have been developed and used over the last two decades. Some algorithms are based on highly sophisticated mathematical models and methods; others are derived using intuition and simple geometrical concepts. The purpose of this paper is threefold. First, we discuss the key issues involved in the design and evaluation of detection algorithms for hyperspectral imaging data. Second, we present a critical review of existing detection algorithms for practical hyperspectral imaging applications. Finally, we argue that the "apparent" superiority of sophisticated algorithms with simulated data or in laboratory conditions, does not necessarily translate to superiority in real-world applications.

Citation Download Citation

D. Manolakis, R. Lockwood, T. Cooley, and J. Jacobson "Is there a best hyperspectral detection algorithm?", Proc. SPIE 7334, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV, 733402 (27 April 2009); https://doi.org/10.1117/12.816917

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