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基于边缘保持的区域能量最小化SAR海冰图像分割 被引量:1

SAR sea ice image segmentation based on edge preseving regional energy minimization
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摘要 提出了一种基于边缘保持的区域能量最小化的SAR海冰图像分割算法。首先对图像进行SRAD滤波,然后进行分水岭初始分割和区域能量最小化分割,从而得到最终分割结果。将该算法用于SAR海冰图像的分割中,实验结果表明,该分割方法有效、准确性好。 An SAR sea ice image segmentation based on edge preseving regional energy minimization is proposed. Firsthy, the SRAD filtering is done, then the watershed initial segmentation and regional MRF segmentation are adopted one by one.It gets the final segmentation. By using this method in the segmentation of SAR sea ice images, the results show that the proposed method is more efficient and accurate.
出处 《微型机与应用》 2012年第14期37-39,共3页 Microcomputer & Its Applications
关键词 图像分割 合成孔径雷达(SAR) 海冰 synthetic aperture radar(SAR) image segmentation sea ice
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参考文献8

  • 1Yang Xuezhi,Cl,AUSl D A. 2007.SAR sea ice image seg- mentation based on edge-preserving watersheds[C].FourthCanadian Conference on Computer and Robot Vision(CRV' 07), 2007 : 426-431.
  • 2www.eorc.jaxa.jp. EORCIImages & Data-ALOS Data Ac- quisition Planning Begun to Study the Global Carbon Cycle. 2007.
  • 3ADAMS R, BISCHOF L. Seeded region growing[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1994,16(6):641-647.
  • 4BOVIK A C. On detecting edges in speckle imagery[J]. IEEE Transactions on Acoustics,Speed and Signal Process- ing, 1998,36( 10): 1648-1627.
  • 5WON C S, DERIN H. Unsuperviscd segmentation of noisy and textured images using Markov random Fiekts[J]. CVGIP: Graphical Models and Image Processing, 1992,54(4):308- 328.
  • 6GAUCH J M.Image segmentation and analysis via muhi- scale gradient watershed hierarchies[J]. IEEE Transactions, on hnage Processing, 1999, g ( 1 ): 69- 79.
  • 7VINCENT L, SOII,LE P. Watersheds in digital spaces: an afficient algorithm based on immersion simulations[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1991,13(6): 583-598.
  • 8LI S Z. Markov random fiehl modeling in image analysis[M]. Springer, 2001.

同被引文献20

  • 1王爱明,索乐,杨文涛.海洋监视监测SAR卫星任务初步分析[J].遥感技术与应用,2007,22(2):162-165. 被引量:6
  • 2Johannessen O M, Alexandrov V Y, Frolov I Y, et al. Remote sensing of sea ice in the northern sea route studies and applica- tions [M]. Chichester, UK Springer and Praxis Publishing, 2007.
  • 3Kerman B. R. Information states in radar imagery of sea ice [ J]. IEEE Transactions on Geoscience and Remote Sensing, 1999, 37(3) :1435-1446.
  • 4Ochilov S, Clausi D A. Operational SAR sea-ice image classifi- cation [ J ]. IEEE Transactions on Geoscience and Remote Sens- ing, 2012, 50( 11 ) : 4397-4408.
  • 5Alhumaidi S M, Jones L P, Park J D, et al. A neural network al- gorithm for sea ice edge classification [ J]. IEEE Transactions on Geoscience and Remote Sensing, 1997, 35(4) : 817-826.
  • 6Clausi D A, Yue B. Comparing cooccurrence probabilities and Markov random fields for texture analysis of SAR sea ice imagery [ J ]. IEEE Transactions on Geoscience and Remote Sensing, 2004, 42( 1 ) : 215-228.
  • 7Nystuen J A, Garcia Jr F W. Sea ice classification using SAR backscatter statistics [ J ]. IEEE Transactions on Geoscience and Remote Sensing, 1992, 30(3) : 502-509.
  • 8Chiles J, Delfiner P. Geostatistics Modeling Spatial Uncertainty [M]. New York: Wiley, 1999.
  • 9Cressie N A C. Statistics for Spatial Data Revised Edition [ M ]. New York: John Wiley & Sons, 1993:256-258.
  • 10Wackernagel H. MuLtivariate Geostatistics: an Introduction with Application [ M]. Berlin: Springer, 2003:367-387.

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