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Proceedings Paper

Hybrid algorithm for hyperspectral target detection
Author(s): Vincent Roy
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Paper Abstract

In this paper, a hybrid reflective hyperspectral target detection algorithm based on the Constrained Energy Minimization (CEM) and Kelly's detection algorithms is presented. Detection performance is evaluated using the dataset and scoring methodology of the Rochester Institute of Technology (RIT) Target Detection Blind Test project. Results show that the proposed hybrid algorithm enables the detection of subpixel targets at a false alarm rate lower than either CEM or Kelly's algorithms.

Paper Details

Date Published: 12 May 2010
PDF: 10 pages
Proc. SPIE 7695, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI, 769522 (12 May 2010); doi: 10.1117/12.849910
Show Author Affiliations
Vincent Roy, Defence Research and Development Canada (Canada)


Published in SPIE Proceedings Vol. 7695:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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