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Volume 26 Issue 9
Sep.  2004
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Yun Ri-sheng, Peng Hai-liang, Wang Yan-ping. Coherence MAP Classification and Its Application in Two-Dimensional Phase Unwrapping[J]. Journal of Electronics & Information Technology, 2004, 26(9): 1449-1454.
Citation: Yun Ri-sheng, Peng Hai-liang, Wang Yan-ping. Coherence MAP Classification and Its Application in Two-Dimensional Phase Unwrapping[J]. Journal of Electronics & Information Technology, 2004, 26(9): 1449-1454.

Coherence MAP Classification and Its Application in Two-Dimensional Phase Unwrapping

  • Received Date: 2003-05-07
  • Rev Recd Date: 2003-08-28
  • Publish Date: 2004-09-19
  • Based on the analyzing of the relation between interferoinetric SAR coherence map classification and two-dimensional phase unwrapping, coherence map classification is applied in two-dimensional phase unwrapping. A K-mean and Markov random field combined classification algorithm is presented for the coherence map classification. The classified coherence map is used to confine the propagation of the local phase errors of low coherence! regions during the two-dimensional phase unwrapping. The experiments on airborne X-band InSAR data show the validity of this approach.
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  • Rosen P A, Hensley S, Joughin I R, et al.. Synthetic aperture radar interferometry. Proc. IEEE,2000, 88(3), 330-380. [2]Bamler R, Hartl P. Synthetic aperture radar interferometry. Inverse Problems, 1998, 14(4): 1-54. [3]Ghiglia D C, Pritt M D. Two-Dimensional Phase Unwrapping: Theory, Algorithms, and Software.New York, John Wiley Sons, Inc., 1998: 46-310. [4]沈清,汤霖.模式识别导论.长沙:国防科学技术出版社,1991:102-120 [5]Li S Z. Markov Random Field Modeling in Computer Vision. New York, Springer-Verlag, 1995:21-108. [6]Besag J. Spatial interactions and the statistical analysis of lattice system, J. Roy. Statist. Soc.,1974, B36(2): 192-236. [7]云日升,彭海良.基于局部最小生成树的干涉SAR二维相位展开.电子与信息学报,2004,26(2):194-199.
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