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Underwater Digital Terrain Model with GPS-aided High-resolution Profile-scan Sonar Images

Underwater Digital Terrain Model with GPS-aided High-resolution Profile-scan Sonar Images
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摘要 The whole procedures of underwater digital terrain model (DTM) were presented by building with the global positioning system (GPS) aided high-resolution profile-scan sonar images.The algorithm regards the digital image scanned in a cycle as the raw data.First the label rings are detected with the improved Hough transform (HT) method and followed by curve-fitting for accurate location;then the most probable window for each ping is detected with weighted neighborhood gray-level co-occurrence matrix;and finally the DTM is built by integrating the GPS data with sonar data for 3D visualization.The case of an underwater trench for immersed tube road tunnel is illustrated. The whole procedures of underwater digital terrain model (DTM) were presented by building with the global positioning system (GPS) aided high-resolution profile-scan sonar images. The algorithm regards the digital image scanned in a cycle as the raw data. First the label rings are detected with the improved Hough transform (HT) method and followed by curve-fitting for accurate location; then the most probable window for each ping is detected with weighted neighborhood gray-level co-occurrence matrix; and finally the DTM is built by integrating the GPS data with sonar data for 3D visualization. The case of an underwater trench for immersed tube road tunnel is illustrated.
出处 《Journal of Shanghai Jiaotong university(Science)》 EI 2008年第2期233-238,共6页 上海交通大学学报(英文版)
关键词 digital terrain model high-resolution sonar Hough transform neighborhood gray-level co-occurrence matrix 水下数字地形模型 GPS 高分辨率声纳 图象
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  • 1[1]Jocelyn Chanussot,Frederic Mausssang.Scalar image filters for speckle reduction on synthetic aperture sonar images[J].IEEE,2002 (1):1234~ 1241
  • 2[2]Max Mignotte,Christophe Collet,Patrick Perez.Sonar image segmentation using an unsupervised hierarchical MRF model[J].IEEE Transaction on Image Processing,2000,9(7):1216~1231
  • 3[3]Scott Reed,Yvan Petillot,Judith Bell.An automatic approach to the detection and extraction of mine features in sidescan sonar[J].IEEE Journal of Oceanic Engineering,2003,28(1):90~ 105
  • 4[4]David M.Lane,Mike J.Chantler,Dongyong Dai.Robust tracking of multiple objects in sector-scan sonar image sequences using optical flow motion estimation[J],IEEE Journal of oceanic engineering,1998,23(1):31 ~ 46
  • 5[7]Jocelyn Chanussot,Frederic Mausssang.Scalar Image filters for speckle reduction on synthetic aperture sonar images[J].IEEE 2002,(1):1234~ 1241
  • 6PACE N G, GAO H. Swathe seabed classification [J]. IEEE Journal Oceanic Engineering, 1988, 13(2): 83-90.
  • 7DUNLOP J. Statistical modelling of sidescan sonar images [A]. Proc OCEANS'97 MTS/IEEE Conf[C]. Halifax, Canada, 1997.
  • 8LINNETT L M, CLARKE S J, Carmichael D R. Texture analysis of sidescan sonar data [A]. IEE Seminar on Texture analysis in radar and sonar [C]. London, UK, 1993.
  • 9CARMICHAEL D R, LINNET L M, CLARK S J, et al. Seabed classification through multifractal analysis of sidescan sonar imagery [A]. IEE Proc Radar, Sonar Navig[C].[s.l.],1996.
  • 10PACE N G, DYER C M. Machine classification of sedimentary sea bottoms [J]. IEEE Trans on Geoscience Electronics, 1979(3): 52-56.

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