Detection of oil slick signatures in SAR images by fusion of hysteresis thresholding responses

Author

Kanaa, Thomas F N ; Tonye, E. ; Mercier, G. ; Onana, V.P. ; Ngono, J. Mvogo ; Frison, P.-L. ; Rudant, J.P. ; Garello, R.

Author_Institution

Lab. d´´Electron. et de Traitement du Signal, Ecole Nat. Superieure Polytech., Yaounde, Cameroon

Volume

4

fYear

2003

fDate

21-25 July 2003

Firstpage

2750

Abstract

A new method is proposed in this paper to detect oil slick signatures in oceanographic SAR images. This method is based on directional behavioural oil slick in the sea surface. Therefore, directional hysteresis thresholding responses are first computed in order to bring to the fore dark spots, and increase pixels connexity in each Freeman direction. Those responses are then merged with the help of a Context Independent Constant Behaviour (CICB) operator. The proposed method is tested on ERS SAR amplitude images of Mediterranean and Atlantic seas. The obtained results are promising and show a good qualitative detection.

Keywords

marine pollution; oceanographic techniques; radar detection; radar imaging; remote sensing by radar; synthetic aperture radar; water pollution measurement; Atlantic seas; Freeman direction; Mediterranean seas; SAR images; dark spots; hysteresis thresholding responses fusion; oil slick signatures; sea surface; Feature extraction; Hysteresis; Marine pollution; Monitoring; Oil pollution; Performance analysis; Petroleum; Sea surface; Synthetic aperture radar; Wind speed;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International

Print_ISBN

0-7803-7929-2

Type

conf

DOI

10.1109/IGARSS.2003.1294573

Filename

1294573