DocumentCode
3634154
Title
Inversion of wavelet coefficients in oil spills detection in radar images for environment risk reduction in Adriatic Sea
Author
Ivica Kuzmani?;Jo?ko ?oda;Zlatan Kulenovi?;Mirjana Vujovi?
Author_Institution
University of Split, Faculty of Maritime Studies, Zrinjsko-Frankopanska 38, 21000, Croatia
fYear
2009
Firstpage
33
Lastpage
36
Abstract
Problem of oil spills detection is involvement of dark colors. Dark colors are close to 0 and cannot be detected by image differencing. The paper presents an idea to overcome the detection problem for oil spills. By using DWT, the idea is to remove parts of the signal which represent main structures such as coastlines and increase noise. Wavelet analysis in real time, for oil spills, has been applied to an inverted image. Then the so called frame differencing technique is applied. The benefits of using the proposed method is the reduction of risk for environment pollution, prevention of environment danger, tracking of pollution spread, and help in crisis management. The proposed method can be combined with VTS for narrow seas such as the Adriatic Sea.
Keywords
"Wavelet coefficients","Petroleum","Radar detection","Radar imaging","Risk management","Colored noise","Pollution","Discrete wavelet transforms","Working environment noise","Wavelet analysis"
Publisher
ieee
Conference_Titel
ELMAR, 2009. ELMAR ´09. International Symposium
ISSN
1334-2630
Print_ISBN
978-953-7044-10-7
Type
conf
Filename
5342867
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