Spectral analysis for oil spill identification using hyperspectral data Online publication date: Mon, 13-May-2013
by Foudan Salem, Menas Kafatos
Interdisciplinary Environmental Review (IER), Vol. 6, No. 2, 2004
Abstract: In this study, advanced techniques for oil spill detection and oil spill type identification using hyperspectral (HSI) AVIRIS data are presented. The new HSI techniques make it possible to model water-leaving radiances from different types of oil slicks. Several methods are used including Spectral Angle Mapper (SAM) and Partial Unmixing (PU) techniques. Our study is focusing on target identification for oil slick type and signature feature analysis for oil spill thickness. We show that oil spills on sea water can be clearly identified. In addition, oil spill thickness and slick types at different stages could be identified by analyzing the spectral features of AVIRIS data.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the Interdisciplinary Environmental Review (IER):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com