Optimal Detection and Estimation of Marine Oil Spills Through Coherent Pluralism

Optimal Detection and Estimation of Marine Oil Spills Through Coherent Pluralism

Kufre Bassey, Polycarp Chigbu
Copyright: © 2013 |Pages: 28
DOI: 10.4018/joris.2013010105
OnDemand:
(Individual Articles)
Available
$37.50
Current Special Offers
No Current Special Offers
TOTAL SAVINGS: $37.50

Abstract

An important area of environmental science involves the combination of information from diverse sources relating to a similar endpoint. Majority of optical remote sensing techniques used for marine oil spills detection have been reported lately of having high number of false alarms (oil slick look-a-likes) phenomena which give rise to signals which appear to be oil but are not. Suggestions for radar image as an operational tool has also been made. However, due to the inherent risk in these tools, this paper presents the possible research directions of combining statistical techniques with remote sensing in marine oil spill detection and estimation.
Article Preview
Top

The Concepts Of Coherent Pluralism

An important area of environmental science involves the combination of information from diverse sources relating to a similar endpoint. A common rubric for combining the results of independent studies is to apply a meta-analysis (Piegorsch & Bailer, 2005). The term suggests a move past an analysis of standalone data or of a single analysis of pooled, multisource data, to one incorporating and synthesizing information from many associated sources. It was first coined by Glass (1976) in an application combining results in multiple social science studies and is now quite common in many social and biomedical applications (Wang & Wall, 2003; Piegorsch & Cox, 1996).

Complete Article List

Search this Journal:
Reset
Volume 15: 1 Issue (2024): Forthcoming, Available for Pre-Order
Volume 14: 1 Issue (2023)
Volume 13: 2 Issues (2022)
Volume 12: 4 Issues (2021)
Volume 11: 4 Issues (2020)
Volume 10: 4 Issues (2019)
Volume 9: 4 Issues (2018)
Volume 8: 4 Issues (2017)
Volume 7: 4 Issues (2016)
Volume 6: 4 Issues (2015)
Volume 5: 4 Issues (2014)
Volume 4: 4 Issues (2013)
Volume 3: 4 Issues (2012)
Volume 2: 4 Issues (2011)
Volume 1: 4 Issues (2010)
View Complete Journal Contents Listing