Next Article in Journal
Detection of Seagrass Distribution Changes from 1991 to 2006 in Xincun Bay, Hainan, with Satellite Remote Sensing
Next Article in Special Issue
Improvement of the Accuracy of InSAR Image Co-Registration Based On Tie Points – A Review
Previous Article in Journal
Performance of Three Reflectance Calibration Methods for Airborne Hyperspectral Spectrometer Data
Previous Article in Special Issue
Observation of a Large Landslide on La Reunion Island Using Differential Sar Interferometry (JERS and Radarsat) and Correlation of Optical (Spot5 and Aerial) Images
Sensors 2009, 9(2), 814-829; doi:10.3390/s90200814
Article

A Fast Level Set Method for Synthetic Aperture Radar Ocean Image Segmentation

1
, 2,*  and 1
Received: 14 December 2008; in revised form: 30 January 2009 / Accepted: 2 February 2009 / Published: 3 February 2009
(This article belongs to the Special Issue Synthetic Aperture Radar (SAR))
View Full-Text   |   Download PDF [1932 KB, uploaded 21 June 2014]   |   Browse Figures
Abstract: Segmentation of high noise imagery like Synthetic Aperture Radar (SAR) images is still one of the most challenging tasks in image processing. While level set, a novel approach based on the analysis of the motion of an interface, can be used to address this challenge, the cell-based iterations may make the process of image segmentation remarkably slow, especially for large-size images. For this reason fast level set algorithms such as narrow band and fast marching have been attempted. Built upon these, this paper presents an improved fast level set method for SAR ocean image segmentation. This competent method is dependent on both the intensity driven speed and curvature flow that result in a stable and smooth boundary. Notably, it is optimized to track moving interfaces for keeping up with the point-wise boundary propagation using a single list and a method of fast up-wind scheme iteration. The list facilitates efficient insertion and deletion of pixels on the propagation front. Meanwhile, the local up-wind scheme is used to update the motion of the curvature front instead of solving partial differential equations. Experiments have been carried out on extraction of surface slick features from ERS-2 SAR images to substantiate the efficacy of the proposed fast level set method.
Keywords: Image Segmentation; Fast Level set; Synthetic Aperture Radar Ocean Image Image Segmentation; Fast Level set; Synthetic Aperture Radar Ocean Image
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Export to BibTeX |
EndNote


MDPI and ACS Style

Huang, X.; Huang, B.; Li, H. A Fast Level Set Method for Synthetic Aperture Radar Ocean Image Segmentation. Sensors 2009, 9, 814-829.

AMA Style

Huang X, Huang B, Li H. A Fast Level Set Method for Synthetic Aperture Radar Ocean Image Segmentation. Sensors. 2009; 9(2):814-829.

Chicago/Turabian Style

Huang, Xiaoxia; Huang, Bo; Li, Hongga. 2009. "A Fast Level Set Method for Synthetic Aperture Radar Ocean Image Segmentation." Sensors 9, no. 2: 814-829.


Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert