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- Publisher Website: 10.1080/01431160512331326747
- Scopus: eid_2-s2.0-17144393793
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Article: A level set method for oil slick segmentation in SAR images
Title | A level set method for oil slick segmentation in SAR images |
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Authors | |
Keywords | Image segmentation Level set Oil slick SAR |
Issue Date | 2005 |
Citation | International Journal of Remote Sensing, 2005, v. 26, n. 6, p. 1145-1156 How to Cite? |
Abstract | Despite much effort and significant progress in recent years, image segmentation remains a challenging problem in image processing, especially for the low contrast, noisy synthetic aperture radar (SAR) images. This paper explores the segmentation of oil slicks using a partial differential equation (PDE)-based level set method, which represents the slick surface as an implicit propagation interface. Starting from an initial estimation with priori information, the level set method creates a set of speed functions to detect the position of the propagation interface. Specifically, the image intensity gradient and the curvature flow are utilized together to determine the speed and direction of the propagation. This allows the front interface to propagate naturally with topological changes, significant protrusions and narrow regions, giving rise to stable and smooth boundaries that discriminate oil slicks from the surrounding water. As the speckles are removed concurrently while the front interface propagates, the pre-filtering of noise is saved. The proposed method has been illustrated by experiments on oil slick segmentation using the ERS-2 SAR images. Its advantages over the traditional image segmentation approaches have also been demonstrated. © 2005 Taylor & Francis Ltd. |
Persistent Identifier | http://hdl.handle.net/10722/330060 |
ISSN | 2023 Impact Factor: 3.0 2023 SCImago Journal Rankings: 0.776 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Huang, B. | - |
dc.contributor.author | Li, H. | - |
dc.contributor.author | Huang, X. | - |
dc.date.accessioned | 2023-08-09T03:37:30Z | - |
dc.date.available | 2023-08-09T03:37:30Z | - |
dc.date.issued | 2005 | - |
dc.identifier.citation | International Journal of Remote Sensing, 2005, v. 26, n. 6, p. 1145-1156 | - |
dc.identifier.issn | 0143-1161 | - |
dc.identifier.uri | http://hdl.handle.net/10722/330060 | - |
dc.description.abstract | Despite much effort and significant progress in recent years, image segmentation remains a challenging problem in image processing, especially for the low contrast, noisy synthetic aperture radar (SAR) images. This paper explores the segmentation of oil slicks using a partial differential equation (PDE)-based level set method, which represents the slick surface as an implicit propagation interface. Starting from an initial estimation with priori information, the level set method creates a set of speed functions to detect the position of the propagation interface. Specifically, the image intensity gradient and the curvature flow are utilized together to determine the speed and direction of the propagation. This allows the front interface to propagate naturally with topological changes, significant protrusions and narrow regions, giving rise to stable and smooth boundaries that discriminate oil slicks from the surrounding water. As the speckles are removed concurrently while the front interface propagates, the pre-filtering of noise is saved. The proposed method has been illustrated by experiments on oil slick segmentation using the ERS-2 SAR images. Its advantages over the traditional image segmentation approaches have also been demonstrated. © 2005 Taylor & Francis Ltd. | - |
dc.language | eng | - |
dc.relation.ispartof | International Journal of Remote Sensing | - |
dc.subject | Image segmentation | - |
dc.subject | Level set | - |
dc.subject | Oil slick | - |
dc.subject | SAR | - |
dc.title | A level set method for oil slick segmentation in SAR images | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1080/01431160512331326747 | - |
dc.identifier.scopus | eid_2-s2.0-17144393793 | - |
dc.identifier.volume | 26 | - |
dc.identifier.issue | 6 | - |
dc.identifier.spage | 1145 | - |
dc.identifier.epage | 1156 | - |
dc.identifier.eissn | 1366-5901 | - |
dc.identifier.isi | WOS:000228182500006 | - |