DocumentCode :
2063307
Title :
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
Link To Document :
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