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Volume 43 Issue 5
May  2021
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Article Contents
Ji Min,Ren Jing,Zhang Liguo, et al. Research on extraction algorithm of critical points of ocean flow field for topological analysis[J]. Haiyang Xuebao,2021, 43(5):135–144 doi: 10.12284/hyxb2021067
Citation: Ji Min,Ren Jing,Zhang Liguo, et al. Research on extraction algorithm of critical points of ocean flow field for topological analysis[J]. Haiyang Xuebao,2021, 43(5):135–144 doi: 10.12284/hyxb2021067

Research on extraction algorithm of critical points of ocean flow field for topological analysis

doi: 10.12284/hyxb2021067
  • Received Date: 2020-03-13
  • Rev Recd Date: 2020-06-10
  • Available Online: 2021-05-25
  • Publish Date: 2021-07-06
  • The critical point is an important component in the topological structure of the ocean flow field. Feature extraction based on the critical point is of great significance to reveal the topological characteristics of the ocean flow field and carry out the topological analysis of the ocean flow field. In this paper, based on critical point theory and Sperner lemma, the improved bilinear interpolation algorithm and Sperner complete labeling method were integrated to extract the critical point features of ocean flow field data. First of all, we added sliding window to the bilinear interpolation algorithm to filter the candidate grid cells of the critical points, and use the aggregation idea to solve the ambiguity problem of grid interpolation by reducing the grid resolution. At the same time, we considered nine cases of the zero value grid, and used the iterative aggregation idea to slide filter the candidate grid cell, which solves the case that the interpolation grids are all 0. Secondly, the extraction rule of critical points of minimum method based on Sperner complete labeling was proposed, and the grid center with the smallest velocity vector module is taken as the critical point to solve the non-zero critical point extraction in the actual flow field physical scene. By combining and de duplicating the two extraction results, more comprehensive critical point extraction and classification results can be obtained. Finally, through the analysis of the experimental results of the flow field data in multiple sea areas and different depths, the effectiveness and feasibility of the integrated critical point extraction algorithm was proved.
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