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