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Proceedings Paper

Segmentation of oil spills in SAR images by using discriminant cuts
Author(s): Xianwen Ding; Xiaolin Zou
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Paper 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.

Paper Details

Date Published: 19 February 2018
PDF: 5 pages
Proc. SPIE 10608, MIPPR 2017: Automatic Target Recognition and Navigation, 106080L (19 February 2018); doi: 10.1117/12.2287314
Show Author Affiliations
Xianwen Ding, Shanghai Ocean Univ. (China)
Xiaolin Zou, Zhaoqing Univ. (China)

Published in SPIE Proceedings Vol. 10608:
MIPPR 2017: Automatic Target Recognition and Navigation
Jianguo Liu; Jayaram K. Udupa; Hanyu Hong, Editor(s)

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