Stand-off identification and mapping of liquid surface contaminations by passive hyperspectral imaging

René Braun; Roland Harig

doi:10.1117/12.1518449

29 May 2013 Stand-off identification and mapping of liquid surface contaminations by passive hyperspectral imaging

René Braun, Roland Harig

Proceedings Volume 8710, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XIV; 871004 (2013) https://doi.org/10.1117/12.1518449
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

Abstract

Stand-off identification of potentially hazardous liquid surface contaminations and the visualisation of the contaminated area enable first responders to rapidly assess emergency situations. Hyperspectral imaging allows the detection and mapping of a huge variety of liquid compounds in real time even without the active illumination of the sample. The approach that is presented in this study uses the contrast of the brightness temperature of the investigated sample and of the surrounding hemisphere. The liquid compounds are identified by the comparison of the reflection spectrum that is measured and synthetic reflection spectra for various liquid compounds. These synthetic in-situ spectra are calculated using the optical properties of the various target compounds that are stored in a library and data characterizing the measurement conditions. That is the spectrum of the radiation incident to the investigated sample and the reflection spectrum of the uncontaminated background surface, both of which are acquired along with the measurement. In this work passive measurements of liquid surface contaminations are presented. The comparison to modelled spectra proves the feasibility of passive stand-off detection and mapping of liquid compounds.

Citation Download Citation

René Braun and Roland Harig "Stand-off identification and mapping of liquid surface contaminations by passive hyperspectral imaging", Proc. SPIE 8710, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XIV, 871004 (29 May 2013); https://doi.org/10.1117/12.1518449

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