Shoreline Extraction from RADARSAT-2 Intensity Imagery Using a Narrow Band Level Set Segmentation Approach

References

• Adalsteinsson , D. and Sethian , J. A. 1995 . A fast level set method for propagating interfaces . Journal of Computational Physics , 118 : 269 – 277 .
   Web of Science ®Google Scholar
• Boak , E. H. and Turner , I. L. 2004 . Shoreline definition and detection: a review . Journal of Coastal Research , 21 : 688 – 703 .
   Web of Science ®Google Scholar
• Caselles , V. , Kimmel , R. and Sapiro , G. 1997 . Geodesic active contours . International Journal of Computer Vision , 22 : 61 – 79 .
   Web of Science ®Google Scholar
• Chan , T. F. and Vese , L. A. 2001 . Active contours without edges . IEEE Transactions on Image Processing , 10 : 266 – 277 .
   PubMed Web of Science ®Google Scholar
• Cremers , D. , Rousson , M. and Deriche , R. 2007 . A review of statistical approaches to level set segmentation: Integrating color, texture, motion and shape . International Journal of Computer Vision , 72 : 195 – 215 .
   Web of Science ®Google Scholar
• Dellepiane , S. , Laurentiis , R. D. and Giordano , F. 2004 . Shoreline extraction from SAR images and a method for the evaluation of the shoreline precision . Pattern Recognition Letters , 25 : 1461 – 1470 .
   Web of Science ®Google Scholar
• Descombes , X. , Moctezuma , M. , Maîtrea , H. and Rudant , J. P. 1996 . Coastline detection by a Markovian segmentation on SAR images . Signal Processing , 55 : 123 – 132 .
   Web of Science ®Google Scholar
• Graham , D. , Sault , M. and Bailey , J. 2003 . National ocean service shoreline–past, present, and future . Journal of Coastal Research , SI : 14 – 32 .
   Google Scholar
• Gomes , J. and Faugeras , O. 2000 . Reconciling distance functions and level sets . Journal of Visual Communication and Image Representation , 11 : 209 – 223 .
   Web of Science ®Google Scholar
• Gonzalez , R. C. and Woods , R. E. 2002 . Digital image processing , 2nd ed. , Upper Saddle River, NJ : Prentice Hall .
   Google Scholar
• Horritt , M. S. , Mason , D. C. and Luckman , A. J. 2001 . Flood boundary delineation from synthetic aperture radar imagery using a statistical active contour model . International Journal of Remote Sensing , 22 : 2489 – 2507 .
   Web of Science ®Google Scholar
• Huang , B. , Li , H. and Huang , X. 2005 . A level set method for oil slick segmentation in SAR images . International Journal of Remote Sensing , 26 : 1145 – 1156 .
   Web of Science ®Google Scholar
• Karantzalos , K. and Argialas , D. 2009 . A region-based level set segmentation for automatic detection of man-made objects from aerial and satellite images . Photogrammetric Engineering & Remote Sensing , 75 : 667 – 678 .
   Web of Science ®Google Scholar
• Karantzalos , K. and Paragios , N. 2009 . Recognition-driven two-dimensional competing priors toward automatic and accurate building detection . IEEE Transactions on Geoscience and Remote Sensing , 47 : 133 – 144 .
   Web of Science ®Google Scholar
• Karantzalos , K. and Argialas , D. 2008 . Automatic detection and tracking of oil spills in SAR imagery with level set segmentation . International Journal of Remote Sensing , 29 : 6281 – 6296 .
   Web of Science ®Google Scholar
• Kichenassamy , S. , Kumar , A. , Olver , P. J. , Tannenbaum , A. and Yezzi , A. J. 1995 . “ Gradient flows and geometric active contour models ” . In IEEE International Conference on Computer Vision Vol. June 20 , Boston, MA
   Google Scholar
• Lee , J. and Jurkevich , I. 1990 . Shoreline detection and tracing in SAR images . IEEE Transactions on Geoscience and Remote Sensing , 28 : 662 – 668 .
   Web of Science ®Google Scholar
• Li , Y. , Li , J. and Lu , Y. 2008 . A fuzzy segmentation-based approach to extraction of shorelines from IKONOS imagery . Geomatica , 62 : 407 – 417 .
   Google Scholar
• Liu , H. and Jezek , K. C. 2004 . Automated extraction of shoreline from satellite imagery by intergrating Canny edge detection and locally adaptive thresholding methods . International Journal of Remote Sensing , 25 : 937 – 958 .
   Web of Science ®Google Scholar
• Mason , D. C. and Davenport , I. J. 1996 . Accurate and efficient determination of the shoreline in ERS-1 SAR images . IEEE Transactions on Geoscience and Remote Sensing , 34 : 1243 – 1253 .
   Web of Science ®Google Scholar
• Mattar , K. E. and Gallop , L. 2003 . “ Arctic shoreline delineation & feature detection using RADARSAT-1 interferometry: Case study over Alert ” . http://pubs.drdc.gc.ca/PDFS/unc17/p520801.pdf
   Google Scholar
• Mcinnes , K. L. , Walsh , K. J. E. , Hubbert , G. D. and Beer , T. 2004 . Impact of sea-level rise and storm surges on a coastal community . Natural Hazards , 30 : 187 – 207 .
   Web of Science ®Google Scholar
• Mumford , D. and Shah , J. 1989 . Optimal approximation by piecewise smooth functions and associated variational problems . Communications on Pure Applied Mathematics , 42 : 577 – 685 .
   Web of Science ®Google Scholar
• National Research Council (NRC) . 2004 . A geospatial framework for the coastal zone: National needs for coastal mapping and charting , 41 – 48 . Washington, DC : National Academy Press .
   Google Scholar
• Niedermeier , A. , Romaneeßen , E. and Lehner , S. 2004 . Detection of shorelines in SAR images using wavelet methods . IEEE Transactions on Geoscience and Remote Sensing , 38 : 2270 – 2281 .
   Web of Science ®Google Scholar
• Niu , X. 2006 . A semi-automatic framework for highway extraction and vehicle detection based on a geometric deformable model . ISPRS Journal of Photogrammetry and Remote Sensing , 61 : 170 – 186 .
   Web of Science ®Google Scholar
• Osher , S. J. and Fedkiw , R. 2002 . “ Level set methods and dynamic implicit surfaces ” . In Applied Mathematical Science , Vol. 153 , Berlin : Springer-Verlag .
   Google Scholar
• Osher , S. and Sethian , J. A. 1988 . Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulations . Journal of Computational Physics , 79 : 12 – 49 .
   Web of Science ®Google Scholar
• Otsu , N. 1979 . A threshold selection method from gray-level histograms . IEEE Transactions on Systems, Man, and Cybernetics , 9 : 62 – 66 .
   Web of Science ®Google Scholar
• Polngam , S. , Sanguantrakool , T. , Pricharchon , E. and Phoompanich , S. 2005 . “ Remote sensing technology for tsunami disasters along the Andaman Sea, Thailand ” . In Proceedings of the 3rd International Workshop on Remote Sensing for Post-Disaster Response Chiba, , Japan September 12–13
   Google Scholar
• Richards , J. A. and Jia , X. 2006 . Remote Sensing Digital Image Analysis , 4th ed. , Berlin : Springer-Verlag .
   Google Scholar
• Sethian , J. A. 1999 . Level set methods and fast marching methods , Cambridge, UK : Cambridge University Press .
   Google Scholar
• Touzi , R. , Lopes , A. and Bousquet , P. 1988 . “ A statistical and geometrical edge detector for SAR images ” . In IEEE Transactions Vol. 26 , 764 – 773 .
   Google Scholar
• Tryggvason , G. , Bunner , B. , Juric , D. , Tauber , W. , Nas , S. , Han , J. , Al-Rawahi , N. and Jan , Y.-J. 2001 . A front tracking method for the computations of multiphase flow . Journal of Computational Physics , 169 : 708 – 759 .
   Web of Science ®Google Scholar
• Ufermann , S. and Romeiser , R. 1999 . A new interpretation of multifrequency/ multipolarization radar signatures of the Gulf Stream front . Journal of Geophysical Research , 104 : 25697 – 25705 .
   Web of Science ®Google Scholar
• Van Der Sanden van , J. J. and Ross , S. G. 2001 . “ Applications potential of RADARSAT-2: A preview ” . Unpublished report, Canada Centre for Remote Sensing .
   Google Scholar
• Van Der Sanden , J. J. 2004 . Anticipated applications potential of RADARSAT-2 data . Canadian Journal of Remote Sensing , 30 : 369 – 379 .
   Web of Science ®Google Scholar
• van Zyl , J. J. 1989 . Unsupervised classification of scattering behavior using radar polarimetric data . IEEE Transactions on Geoscience and Remote Sensing , 27 : 36 – 45 .
   Web of Science ®Google Scholar
• Wang , Y. and Allan , T. R. 2008 . Estuarine shoreline change detection using Japanese ALOS PALSAR HH and JERS-1 L-HH SAR data in the Albemarle-Pamlico Sounds, North Carolina, USA . International Journal of Remote Sensing , 29 : 4429 – 4442 .
   Web of Science ®Google Scholar
• Wiedemann , C. , Heipke , C. , Mayer , H. and Jamet , O. 1998 . “ Empirical evaluation of automatically extracted road axes ” . In Empirical evaluation methods in computer vision , Edited by: Bowyer , K. and Phillips , P. 172 – 187 . Silver Spring, MD: IEEE Computer Society Press .
   Google Scholar
• Yeremy , M. , Beaudoin , J. D. , Walter , G. M. and Beaudoin , A. 2000 . “ Shoreline mapping from SAR imagery: A polarimetric approach ” . In In Proceedings of the 22nd Victoria, , Canada August 21–25
   Google Scholar
• Yu , Y. and Acton , S. T. 2002 . Speckle reducing anisotropic diffusion . IEEE Transactions on Geoscience and Remote Sensing , 11 : 1260 – 1270 .
   Google Scholar
• Yu , Y. and Acton , S. T. 2004 . Automated delineation of shoreline from polarimetric SAR imagery . International Journal of Remote Sensing , 25 : 3423 – 3438 .
   Web of Science ®Google Scholar
• Yu , Q. and Clausi , D. 2006 . Filament preserving model (FPM) segmentation applied to SAR sea-ice imagery . IEEE Transactions on Geoscience and Remote Sensing , 44 : 3687 – 3694 .
   Web of Science ®Google Scholar