Optimal target detection for hyperspectral images with uniform backgrounds

Steven E. Johnson

doi:10.1117/1.2227366

1 July 2006 Optimal target detection for hyperspectral images with uniform backgrounds

Steven E. Johnson

Author Affiliations +

Optical Engineering, Vol. 45, Issue 7, 076202 (July 2006). https://doi.org/10.1117/1.2227366

Abstract

This paper considers the problem of detecting a subpixel target in a hyperspectral image with a uniform background. A uniform background region is defined as an area of a hyperspectral image composed of a single material except for possibly a target material. It is shown that in the uniform background case the likelihood ratio test (LRT), which is the optimal signal detection algorithm, can be evaluated. It is shown that the LRT derived in this paper is a special case of the constrained signal detector (CSD). Though no other detector outperforms the LRT, it is possible for other algorithms to equal its performance. It is shown in what special cases the orthogonal subspace projection (OSP) detector and the matched filter detector (MFD) perform the same as the CSD.

©(2006) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Steven E. Johnson "Optimal target detection for hyperspectral images with uniform backgrounds," Optical Engineering 45(7), 076202 (1 July 2006). https://doi.org/10.1117/1.2227366

Published: 1 July 2006

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