Title :
Oil spill detection in SAR images using multiscale normalized cut segmentation
Author :
Xianwen Ding ; Xiaofeng Li ; Peng Liu ; Yongliang Wei ; Shuolin Huang ; Junsheng Zhong
Author_Institution :
Int. Center for Marine Studies, Shanghai Ocean Univ., Shanghai, China
Abstract :
The multiscale normalized cut technique is used to detect oil spill in synthetic aperture radar (SAR) images. The proposed approach is a region-based one, which is able to capture and utilize spatial information in the image. Actual ENVISAT ASAR image was collected and used to validate the effectiveness and efficiency of the proposed approach for oil spill detection in SAR images.
Keywords :
geophysical image processing; image segmentation; marine pollution; oceanographic techniques; oil pollution; radar imaging; synthetic aperture radar; water pollution measurement; ENVISAT ASAR image; SAR images; multiscale normalized cut segmentation; multiscale normalized cut technique; oil spill detection; synthetic aperture radar; Educational institutions; Image segmentation; Neural networks; Oceans; Remote sensing; Synthetic aperture radar; US Government agencies; SAR; image segmentation; normalized cut; oil spill;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
DOI :
10.1109/IGARSS.2014.6946810
