Paper
4 November 2005 Design and evaluation of hyperspectral algorithms for chemical warfare agent detection
Author Affiliations +
Proceedings Volume 5995, Chemical and Biological Standoff Detection III; 599503 (2005) https://doi.org/10.1117/12.629362
Event: Optics East 2005, 2005, Boston, MA, United States
Abstract
Remote sensing of chemical warfare agents (CWA) with stand-off hyperspectral imaging sensors has a wide range of civilian and military applications. These sensors exploit the spectral changes in the ambient photon flux produced by either sunlight or the thermal emission of the earth after passage through a region containing the CWA cloud. The purpose of this paper is threefold. First, to discuss a simple phenomenological model for the radiance measured by the sensor in the case of optically thin clouds. This model provides the mathematical framework for the development of optimum algorithms and their analytical evaluation. Second, we identify the fundamental aspects of the data exploitation problem and we develop detection algorithms that can be used by different sensors as long as they can provide the required measurements. Finally, we discuss performance metrics for detection, identification, and quantification and we investigate their dependance on CWA spectral signatures, sensor noise, and background spectral variability.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dimitris Manolakis and Francis M. D'Amico "Design and evaluation of hyperspectral algorithms for chemical warfare agent detection", Proc. SPIE 5995, Chemical and Biological Standoff Detection III, 599503 (4 November 2005); https://doi.org/10.1117/12.629362
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Cited by 5 scholarly publications.
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KEYWORDS
Sensors

Detection and tracking algorithms

Clouds

Algorithm development

Signal to noise ratio

Statistical analysis

Signal detection

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