Hybrid algorithm for hyperspectral target detection

Vincent Roy

doi:10.1117/12.849910

12 May 2010 Hybrid algorithm for hyperspectral target detection

Vincent Roy

Proceedings Volume 7695, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI; 769522 (2010) https://doi.org/10.1117/12.849910
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

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.

Citation Download Citation

Vincent Roy "Hybrid algorithm for hyperspectral target detection", Proc. SPIE 7695, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI, 769522 (12 May 2010); https://doi.org/10.1117/12.849910

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