Endmember detection in marine environment with oil spill event

Andreou, C; Karathanassi, V

dc.contributor.author	Andreou, C	en
dc.contributor.author	Karathanassi, V	en
dc.date.accessioned	2014-03-01T02:53:15Z
dc.date.available	2014-03-01T02:53:15Z
dc.date.issued	2011	en
dc.identifier.issn	0277786X	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/36197
dc.subject	endmember extraction	en
dc.subject	hyperspectral imaging	en
dc.subject	Oil spill	en
dc.subject	spectral library	en
dc.subject.other	Automatic target generation process	en
dc.subject.other	Classification models	en
dc.subject.other	Convex cone	en
dc.subject.other	Endmember extraction	en
dc.subject.other	Endmembers	en
dc.subject.other	Environmental issues	en
dc.subject.other	Hyper-spectral images	en
dc.subject.other	Hyperspectral Imaging	en
dc.subject.other	Hyperspectral remote sensing	en
dc.subject.other	Linear independence	en
dc.subject.other	Marine environment	en
dc.subject.other	Oil exploration	en
dc.subject.other	River discharge	en
dc.subject.other	Shallow waters	en
dc.subject.other	Spectral libraries	en
dc.subject.other	Spectral measurement	en
dc.subject.other	Spectral signature	en
dc.subject.other	Spectro-radiometers	en
dc.subject.other	Synthetic images	en
dc.subject.other	Unmixing	en
dc.subject.other	Vertex component analysis	en
dc.subject.other	Algorithms	en
dc.subject.other	Cones	en
dc.subject.other	Crude oil	en
dc.subject.other	Environmental protection	en
dc.subject.other	Oil spills	en
dc.subject.other	Remote sensing	en
dc.subject.other	Residual fuels	en
dc.subject.other	Seawater	en
dc.subject.other	Signal detection	en
dc.subject.other	Marine pollution	en
dc.title	Endmember detection in marine environment with oil spill event	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1117/12.898762	en
heal.identifier.secondary	http://dx.doi.org/10.1117/12.898762	en
heal.identifier.secondary	81800P	en
heal.publicationDate	2011	en
heal.abstract	Oil spill events are a crucial environmental issue. Detection of oil spills is important for both oil exploration and environmental protection. In this paper, investigation of hyperspectral remote sensing is performed for the detection of oil spills and the discrimination of different oil types. Spectral signatures of different oil types are very useful, since they may serve as endmembers in unmixing and classification models. Towards this direction, an oil spectral library, resulting from spectral measurements of artificial oil spills as well as of look-alikes in marine environment was compiled. Samples of four different oil types were used; two crude oils, one marine residual fuel oil, and one light petroleum product. Lookalikes comprise sea water, river discharges, shallow water and water with algae. Spectral measurements were acquired with spectro-radiometer GER1500. Moreover, oil and look-alikes spectral signatures have been examined whether they can be served as endmembers. This was accomplished by testifying their linear independence. After that, synthetic hyperspectral images based on the relevant oil spectral library were created. Several simplex-based endmember algorithms such as sequential maximum angle convex cone (SMACC), vertex component analysis (VCA), n-finder algorithm (N-FINDR), and automatic target generation process (ATGP) were applied on the synthetic images in order to evaluate their effectiveness for detecting oil spill events occurred from different oil types. Results showed that different types of oil spills with various thicknesses can be extracted as endmembers. © 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).	en
heal.journalName	Proceedings of SPIE - The International Society for Optical Engineering	en
dc.identifier.doi	10.1117/12.898762	en
dc.identifier.volume	8180	en