Oil spill detection in SAR images using multiscale normalized cut segmentation

Xianwen Ding,Xiaofeng Li,Peng Liu,Yongliang Wei, Shuolin Huang,Junsheng Zhong

IGARSS（2014）

Cited 2|Views4

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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.

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Key words

synthetic aperture radar,sar,oil pollution,oil spill detection,marine pollution,normalized cut,image segmentation,water pollution measurement,geophysical image processing,oil spill,oceanographic techniques,multiscale normalized cut segmentation,radar imaging,multiscale normalized cut technique,sar images,envisat asar image,remote sensing,neural networks

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