Publication Date:
2021-01-25
Description:
In this study, we evaluated the SAR information extraction of oil spilled at sea and the effectiveness of combining the fuzzy C-means (FCM) and distance regularized level set evolution (DRLSE) models to extract SAR oil-spill information. In light of the inability of this approach to prevent small-noise effects and its poor thin-oil- film extraction performance, we propose a method for extracting oil-spill information that combines threshold data and the DRLSE model. With this method, the initial contour of the oil-spill region is constructed based on the threshold, which overcomes the influence of small noises on the oil extraction, and the extraction of thin-oil-film information is facilitated. Our method demonstrates better oil-extraction precision than the H/A/alpha-Wishart unsupervised classification method and the combined FCM and DRLSE models.
Language:
English
Type:
info:eu-repo/semantics/article
