Slick detection in SAR images

Author

Hovland, Heidi A. ; Johannessen, Johnny A. ; Digranes, Gunnar

Author_Institution

Nansen Environ. & Remote Sensing Center, Solheimsviken, Norway

Volume

4

fYear

1994

fDate

8-12 Aug 1994

Firstpage

2038

Abstract

A study of oil slicks and their look-alikes in SAR imagery is performed. Slicks are classified according to characteristic image expressions, backscatter profiles and gradients, geographical occurrence and weather limitations. A conceptual model for distinguishing oil slicks from other slick expressions is proposed. The model perform best when auxiliary data is available. The radar backscatter cross section and the radar contrast or damping ratio, defined as the ratio of the backscattered radar power from slick free and slick covered surfaces, are calculated for the different types of slick surfaces. Finally, a comparison between experimental results from a laboratory study and the SAR data is performed

Keywords

backscatter; electromagnetic wave scattering; geophysical signal processing; oceanographic techniques; radar applications; radar cross-sections; radar imaging; remote sensing; remote sensing by radar; spaceborne radar; synthetic aperture radar; water pollution measurement; SAR image; SAR imagery; backscatter profile; conceptual model; damping ratio; marine pollution; measurement technique; natural slick; oil slick; radar imaging; radar scattering; sea surface radar remote sensing; slick detection; synthetic aperture radar; water pollution; Backscatter; Laboratories; Marine vehicles; Petroleum; Radar cross section; Radar imaging; Sea surface; Spaceborne radar; Surface contamination; Wind speed;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International

Conference_Location

Pasadena, CA

Print_ISBN

0-7803-1497-2

Type

conf

DOI

10.1109/IGARSS.1994.399647

Filename

399647