Hyperspectral imaging: future applications in security systems

Helge Bürsing; Wolfgang Gross

doi:10.1515/aot-2017-0007

Article

Hyperspectral imaging: future applications in security systems

Helge Bürsing
Helge Bürsing was born in Gifhorn, Germany in 1972. He obtained the German Abitur in 1994. In 2002, he finished his PhD thesis at the Max-Planck-Institute for biophysical Chemistry in Göttingen and began working at the Fraunhofer Institute for Optronics, System Technologies and Image Exploitation. After managing and working in different projects in the field of optronics such as DIRCM, fs-laser beam propagation, sensor hardening and HEL, he became head of the Optronics department in 2013.
and Wolfgang Gross
Wolfgang Gross was born in Karlsruhe, Germany, in 1985. He obtained the German Abitur in 2004. After being awarded a Diploma in Techno-Mathematics from the University of Karlsruhe (KIT) in 2011, he began working toward a PhD in cooperation with the Fraunhofer Institute for Optronics, System Technologies and Image Exploitation. His research focuses on hyperspectral image exploitation, spectral unmixing, and nonlinear representation of large point clouds.

Published/Copyright: April 4, 2017

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From the journal Advanced Optical Technologies Volume 6 Issue 2

Abstract

The idea behind hyperspectral imagers (HSI) is to generate an image with hundreds of contiguous narrow channels, the so-called spectral bands. As each material has a specific spectral signature, robust detection and classification of specific materials is now achievable. Spectra can be characterized by narrow features in their signatures that broadband and multispectral cameras cannot resolve. As a result of technical progress, new HSI with higher spatial resolution and better signal-to-noise ratios have been developed. Additionally, it is possible to buy small HSI that weigh less than 1 kg, which opens up new applications in surveillance and monitoring with unmanned aerial systems (UAS). Despite the capabilities of hyperspectral data evaluation, HSI is applied to surprisingly few tasks. This is a result of the sheer amount of recorded data that needs to be analyzed and the complex data pre-processing when the sensors are not used in a controlled environment. Also, extensive research is required to find the most efficient solution for a given task. The goal of this letter is to introduce and compare the different sensor techniques, discuss potential use for applications in civil security and give an outlook of future challenges.

Keywords: civil security; disaster management; hyperspectral imager; remote sensing

About the authors

Helge Bürsing

Helge Bürsing was born in Gifhorn, Germany in 1972. He obtained the German Abitur in 1994. In 2002, he finished his PhD thesis at the Max-Planck-Institute for biophysical Chemistry in Göttingen and began working at the Fraunhofer Institute for Optronics, System Technologies and Image Exploitation. After managing and working in different projects in the field of optronics such as DIRCM, fs-laser beam propagation, sensor hardening and HEL, he became head of the Optronics department in 2013.

Wolfgang Gross

Wolfgang Gross was born in Karlsruhe, Germany, in 1985. He obtained the German Abitur in 2004. After being awarded a Diploma in Techno-Mathematics from the University of Karlsruhe (KIT) in 2011, he began working toward a PhD in cooperation with the Fraunhofer Institute for Optronics, System Technologies and Image Exploitation. His research focuses on hyperspectral image exploitation, spectral unmixing, and nonlinear representation of large point clouds.

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Received: 2017-1-19

Accepted: 2017-2-24

Published Online: 2017-4-4

Published in Print: 2017-4-1

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Articles in the same Issue

https://doi.org/10.1515/aot-2017-0007

Keywords for this article

civil security; disaster management; hyperspectral imager; remote sensing