Translator Disclaimer
9 September 2019 Ocean SAR Image Segmentation and Edge Gradient Feature Extraction
Hualin Ma, Liyan Zhang
Author Affiliations +
Abstract

Ma, H.-L. and Zhang, L.-Y., 2019. Ocean SAR image segmentation and edge gradient feature extraction. In: Gong, D.; Zhu, H., and Liu, R. (eds.), Selected Topics in Coastal Research: Engineering, Industry, Economy, and Sustainable Development. Journal of Coastal Research, Special Issue No. 94, pp. 141–144. Coconut Creek (Florida), ISSN 0749-0208.

In order to improve the segmentation effect of synthetic aperture radar (SAR) ocean oil spill image and obtain accurate information of oil spill on ocean surface. Current image segmentation techniques are based on two properties called discontinuity and similarity based. In the segmentation based on discontinuity, image segmentation is performed based on a change in the intensity of the gray level of the image. Isolated points, edges and lines are identified primarily by methods based on discontinuities. In the similarity-based segmentation, the same points, lines and edges are identified. It contains region segmentation and merging, thresholds, and region growth.

©Coastal Education and Research Foundation, Inc. 2019
Hualin Ma and Liyan Zhang "Ocean SAR Image Segmentation and Edge Gradient Feature Extraction," Journal of Coastal Research 94(sp1), 141-144, (9 September 2019). https://doi.org/10.2112/SI94-028.1
Received: 2 February 2019; Accepted: 5 May 2019; Published: 9 September 2019
JOURNAL ARTICLE
4 PAGES


Share
SHARE
KEYWORDS
image segmentation
Oil spill
pre-treatment
synthetic aperture radar
threshold
RIGHTS & PERMISSIONS
Get copyright permission
Back to Top