52
Views
0
CrossRef citations to date
0
Altmetric
Research Articles

A Case-Based Reasoning Method for Generalizing Depth Contours considering Both Navigational Safety Assurance and Line Shape Preservation

, , &
Pages 1-22 | Received 05 Jun 2023, Accepted 23 Sep 2023, Published online: 17 Oct 2023

References

  • Du, J., F. Wu, J. Yin, C. Liu, and X. Gong. 2022. “Polyline Simplification Based on the Artificial Neural Network with Constraints of Generalization Knowledge.” Cartography and Geographic Information Science 49 (4): 313–37. https://doi.org/10.1080/15230406.2021.2013944
  • Guilbert, E. 2016. “Feature-Driven Generalization of Isobaths on Nautical Charts: A Multi-Agent System Approach.” Transactions in GIS 20 (1): 126–43. https://doi.org/10.1111/tgis.12147
  • Guo, M., H. Qian, Z. Huang, H. He, and H. Liu. 2014. “Intelligent Road-Network Selection Using Cases Based Reasoning.” Acta Geodaetica et Cartographica Sinica 43 (7): 761–70. https://doi.org/10.13485/j.cnki.11-2089.2014.0120
  • Holt, A., and G. Benwell. 1999. “Applying Case-Based Reasoning Techniques in GIS.” International Journal of Geographical Information Science 13 (1): 9–25. https://doi.org/10.1080/136588199241436
  • IHO. 2023. “ENC Product Specification.” In 1st Ed. April, Monaco 2023, IHO Special Publication No. 101 (IHO S-101). https://registry.iho.int/productspec/view.do?idx=195&product_ID=S-101&statusS=5&domainS=ALL&category=product_ID&searchValue=
  • IHO. 2023. “Hydrographic Dictionary.” In 10th Ed. July, Monaco 2023, IHO Special Publication No. 32 (IHO S-32). http://iho-ohi.net/S32/
  • IHO. 2020. “Mariners’ Guide to Accuracy of Depth Information in Electronic Navigational Charts (ENC).” In 1st Ed. September, Monaco 2020, IHO. Special Publication No. 67 (IHO S-67). https://iho.int/en/standards-and-specifications
  • Kastrisios, C., N. Dyer, T. Nada, S. Contarinis, and J. Cordero. 2023. “Increasing Efficiency of Nautical Chart Production and Accessibility to Marine Environment Data through an Open-Science Compilation Workflow.” ISPRS International Journal of Geo-Information 12 (3): 116. https://doi.org/10.3390/ijgi12030116
  • Li, J. 2018. Research on Automated Cartographic Generalization of Submarine Relief. PhD diss., PLA Strategic Support Force Information Engineering University.
  • Li, J., F. Wu, J. Du, X. Gong, and R. Xin. 2019. “Chart Depth Contour Simplification Based on Delaunay Triangulation.” Geomatics and Information Science of Wuhan University 44 (5): 778–783. https://doi.org/10.13203/j.whugis20170223
  • Liu, X. 2020. “Research on the Method of River Network Automatic Generalization Based on Machine Learning.” Master’s thesis, Zhengzhou University. https://doi.org/10.27466/d.cnki.gzzdu.2020.002467
  • Luo, G., G. Zhu, H. Wu, and Y. Yang. 2005. “The Study of the Model of Identifying Bends for Cartographic Linear Features Based on Analysing Coordinate Monotony.” Bulletin of Surveying and Mapping 49 (10): 21–4. https://doi.org/10.3969/j.issn.0494-0911.2005.10.009.
  • Peters, R., H. Ledoux, and M. Meijers. 2014. “A Voronoi-Based Approach to Generating Depth-Contours for Hydrographic Charts.” Marine Geodesy 37 (2): 145–66. https://doi.org/10.1080/01490419.2014.902882
  • Ruas, A., A. Dyevre, C. Duchêne, and P. Taillandier. 2006. “Methods for Improving and Updating the Knowledge of a Generalization System”, Autocarto. https://www.cartogis.org/docs/proceedings/2006/ruas dyevre_duchene_taillandier.pdf
  • Skopeliti, A., L. Tsoulos, and S. Pe’eri. 2021. “Depth Contours and Coastline Generalization for Harbour and Approach Nautical Charts.” ISPRS International Journal of Geo-Information 10 (4): 197. https://doi.org/10.3390/ijgi10040197
  • Smith, S. M. 2003. “The Navigational Surface: A Multipurpose Bathymetric Database.” Master’s thesis., University of New Hampshire. https://www.opennavsurf.org/assets/papers/smith_thesis_navigation_surface.pdf.
  • Tang, L., L. Zhang, S. Jia, and X. Lv. 2019. “Line Element Synthesis Method Based on Rolling-Circle.” Hydrographic Surveying and Charting 39 (3): 16–40. https://doi.org/10.3969/j.issn.1671-3044.2019.03.004
  • Touya, G., X. Zhang, and I. Lokhat. 2019. “Is Deep Learning the New Agent for Map Generalization?” International Journal of Cartography 5 (2–3): 142–157. https://doi.org/10.1080/23729333.2019.1613071
  • Wei, H., L. Zhang, L. Tang, J. Dong, G. Li, and H. Yuan. 2022. “Complexity Measurement of Line Element on Nautical Chart Considering Local Difference.” Acta Geodaetica et Cartographica Sinica 51 (9): 1959–68. https://doi.org/10.11947/j.AGCS.2022.20210129
  • Weibel, R., S. Keller, and T. Reichenbacher. 1995. “Overcoming the Knowledge Acquisition Bottleneck in Map Generalization: The Role of Interactive Systems and Computational Intelligence.” In International Conference on Spatial Information Theory, 139–56. Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/3-540-60392-1_10
  • Wu, H. 2003. “Automatic Determination of Inflection Point and Its Applications.” Geomatics and Information Science of Wuhan University 28 (3): 330. https://doi.org/10.13203/j.whugis2003.03.015
  • Wu, F., and K. Zhu. 2008. “Geometric Accuracy Assessment of Linear Feature’s Simplification Algorithms.” Geomatics and Information Science of Wuhan University 33 (6): 600–3. https://doi.org/10.13203/j.whugis2008.06.023
  • Xie, L., H. Qian, H. He, C. Liu, and P. Duan. 2017. “A Habitation Selection Method by Using Case-based Reasoning.” Acta Geodaetica et Cartographica Sinica 46 (11): 1910–8. https://doi.org/10.11947/j.AGCS.2017.20170061
  • Yan, J., E. Guilbert, and E. Saux. 2015. “An Ontology of the Submarine Relief for Analysis and Representation on Nautical Charts.” The Cartographic Journal 52 (1): 58–66. https://doi.org/10.1179/1743277413Y.0000000050
  • Zhang, X., and E. Guilbert. 2011. “A Multi-Agent System Approach for Feature-Driven Generalization of Isobathymetric Line.” In Advances in Cartography and GIScience, ed. A. Ruas. Vol. 1, 477–95. New York: Springer. https://doi.org/10.1007/978-3-642-19143-5_27
  • Zhang, L., S. J. L. Tang, and J. Dong. 2022. Theory and Methods of Automatic Cartographic Generalizing for Nautical Chart. Beijing, China: Science Press.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.