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Evaluation and performance analysis of hydrocarbon detection methods using hyperspectral data

: Lenz, Andreas; Schilling, Hendrik; Gross, Wolfgang; Middelmann, Wolfgang

Postprint urn:nbn:de:0011-n-3700125 (398 KByte PDF)
MD5 Fingerprint: b47fd11df4dd5f15b56446d073fa7c2f
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Created on: 10.12.2015

Institute of Electrical and Electronics Engineers -IEEE-:
IGARSS 2015, IEEE International Geoscience and Remote Sensing Symposium : July 26-31, 2015, Milan, Italy
Piscataway, NJ: IEEE, 2015
ISBN: 978-1-4799-7929-5
International Geoscience and Remote Sensing Symposium (IGARSS) <2015, Milan>
Conference Paper, Electronic Publication
Fraunhofer IOSB ()
hydrocarbon index; oil spill; mapping; Hazard; environment monitoring; airborne hyperspectral imaging; spectral reidentification; Otsu threshold; limiting performance

Different methods for the detection for hydrocarbons in aerial hyperspectral images are analyzed in this study. The scope is to find a practical method for airborne oil spill mapping on land. Examined are Hydrocarbon index and Hydrocarbon detection index. As well as spectral reidentification algorithms, like Spectral angle mapper, in comparison to the indices. The influence of different ground coverage and different hydrocarbons was tested and evaluated. A ground measurement campaign was conducted with controlled contaminations and manual definition of ground truth data, to evaluate the performance of the detection methods. Additionally, the discriminability between wet ground and oil-contaminated ground is investigated, along with the temporal influence on oil spill detection.