DocumentCode :
3356957
Title :
An experiment for oil spill recognition using RADARSAT-2 image
Author :
Tian, Wei ; Shao, Yun ; Yuan, Junna ; Wang, Shiang ; Liu, Yang
Author_Institution :
Inst. of Remote Sensing Applic., Chinese Acad. of Sci., Beijing, China
fYear :
2010
fDate :
25-30 July 2010
Firstpage :
2761
Lastpage :
2764
Abstract :
In this paper, an experiment that is oriented to discriminate between different oil slicks using polarimetric SAR image was introduced. Dark patches which often appear in SAR images such as biogenic slicks, atmospheric front, and crude oil with different chemical composition were identified according to the result of Eigenvector-Eigenvalue based Incoherent Target Decomposition. The experiment demonstrated that polarimetric SAR can be of great help in classifying of oil spills.
Keywords :
environmental science computing; geophysical image processing; image classification; oceanography; radar polarimetry; remote sensing by radar; synthetic aperture radar; water pollution measurement; RADARSAT-2 images; eigenvector-eigenvalue based incoherent target decomposition; oil slicks; oil spill classification; oil spill recognition experiment; polarimetric SAR image; Films; Ocean temperature; Petroleum; Remote sensing; Sea surface; Surface treatment; Surface waves; Cloude Eigen Decomposition; Identification; Oil spill; Polarimetry; RADARSAT-2;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
ISSN :
2153-6996
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2010.5652898
Filename :
5652898
Link To Document :
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