Hyperspectral image analysis for stand-off trace detection using IR laser spectroscopy

被引：5

作者：

Jarvis, J. ^{[1
]}

Fuchs, F. ^{[1
]}

Hugger, S. ^{[1
]}

Ostendorf, R. ^{[1
]}

Butschek, L. ^{[1
]}

Yang, Q. ^{[1
]}

Dreyhaupt, A. ^{[2
]}

Grahmann, J. ^{[2
]}

Wagner, J. ^{[1
]}

机构：

[1] Fraunhofer Inst Appl Solid State Phys IAF, Tullastr 72, D-79108 Freiburg, Germany

[2] Fraunhofer Inst Photon Microsyst IPMS, Maria Reiche Str 2, D-01109 Dresden, Germany

来源：

CHEMICAL, BIOLOGICAL, RADIOLOGICAL, NUCLEAR, AND EXPLOSIVES (CBRNE) SENSING XVII | 2016年 / 9824卷

关键词：

D O I：

10.1117/12.2223604

中图分类号：

S2 [农业工程];

学科分类号：

0828 ;

摘要：

In the recent past infrared laser backscattering spectroscopy using Quantum Cascade Lasers (QCL) emitting in the molecular fingerprint region between 7.5 mu m and 10 mu m proved a highly promising approach for stand-off detection of dangerous substances. In this work we present an active illumination hyperspectral image sensor, utilizing QCLs as spectral selective illumination sources. A high performance Mercury Cadmium Telluride (MCT) imager is used for collection of the diffusely backscattered light. Well known target detection algorithms like the Adaptive Matched Subspace Detector and the Adaptive Coherent Estimator are used to detect pixel vectors in the recorded hyperspectral image that contain traces of explosive substances like PETN, RDX or TNT. In addition we present an extension of the backscattering spectroscopy technique towards real-time detection using a MOEMS EC-QCL.

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