Segmentation of oil spills in SAR images by using discriminant cuts

Xianwen Ding; Xiaolin Zou

doi:10.1117/12.2287314

19 February 2018 Segmentation of oil spills in SAR images by using discriminant cuts

Xianwen Ding, Xiaolin Zou

Proceedings Volume 10608, MIPPR 2017: Automatic Target Recognition and Navigation; 106080L (2018) https://doi.org/10.1117/12.2287314
Event: Tenth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2017), 2017, Xiangyang, China

Abstract

The discriminant cut is used to segment the oil spills in synthetic aperture radar (SAR) images. The proposed approach is a region-based one, which is able to capture and utilize spatial information in SAR images. The real SAR images, i.e. ALOS-1 PALSAR and Sentinel-1 SAR images were collected and used to validate the accuracy of the proposed approach for oil spill segmentation in SAR images. The accuracy of the proposed approach is higher than that of the fuzzy C-means classification method.

Citation Download Citation

Xianwen Ding and Xiaolin Zou "Segmentation of oil spills in SAR images by using discriminant cuts", Proc. SPIE 10608, MIPPR 2017: Automatic Target Recognition and Navigation, 106080L (19 February 2018); https://doi.org/10.1117/12.2287314

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