Oil spill detection in SAR imagery

Author

Bjerde, Katrine Weisteen ; Solberg, Anne H Schistad ; Solberg, Rune

Author_Institution

Norwegian Comput. Center, Oslo, Norway

fYear

1993

fDate

18-21 Aug 1993

Firstpage

943

Abstract

The possibilities for automatic segmentation of oil slicks and oil slick look-alikes in ERS-1 SAR imagery is investigated. “Spots” in the images are detected using adaptive thresholding and statistical classification of oil slick candidates is performed using geometric properties and gradient-based features. Promising results are shown, but the methods need to be tested on a larger data set before any final conclusions can be drawn

Keywords

geophysics computing; image recognition; image segmentation; oceanographic techniques; remote sensing; remote sensing by radar; synthetic aperture radar; water pollution detection and control; ERS-1; SAR imagery; adaptive thresholding; automatic segmentation; geometric properties; gradient-based feature; image processing; microwave SHF; ocean surface; oil slick; oil spill detection; radar remote sensing; sea surface oil pollution; spot; statistical classification; water pollution; Calibration; Feature extraction; Humans; Image segmentation; Inspection; Petroleum; Radar scattering; Sea surface; Surface contamination; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1993. IGARSS '93. Better Understanding of Earth Environment., International

Conference_Location

Tokyo

Print_ISBN

0-7803-1240-6

Type

conf

DOI

10.1109/IGARSS.1993.322633

Filename

322633