OIL SPILL DETECTION IN SAR IMAGES USING MULTISCALE NORMALIZED CUT SEGMENTATION

被引：0
|
作者：
Ding, Xianwen [1 ]
Li, Xiaofeng
Liu, Peng
Wei, Yongliang [1 ]
Huang, Shuolin
Zhong, Junsheng
机构：
[1] Shanghai Ocean Univ, Int Ctr Marine Studies, Shanghai 201306, Peoples R China
来源：
2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2014年
关键词：
SAR; oil spill; normalized cut; image segmentation;
D O I：
10.1109/IGARSS.2014.6946810
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
收藏
页码：1829 / 1831
页数：3
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