Volume XLII-3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 2599-2601, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-2599-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 2599-2601, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-2599-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  02 May 2018

02 May 2018

AUTOMATIC GENERALIZABILITY METHOD OF URBAN DRAINAGE PIPE NETWORK CONSIDERING MULTI-FEATURES

S. Zhu1, Q. Yang2, and J. Shao2 S. Zhu et al.
  • 1College of Geographical and Biological Information, Nanjing University of Posts and Telecommunications, Nanjing, China
  • 2School of Geography Science, Nanjing Normal University, Nanjing, China

Keywords: Stroke, Urban Drainage Pipe Network, Generalization, Similarity Criterion, Multi-features

Abstract. Urban drainage systems are indispensable dataset for storm-flooding simulation. Given data availability and current computing power, the structure and complexity of urban drainage systems require to be simplify. However, till data, the simplify procedure mainly depend on manual operation that always leads to mistakes and lower work efficiency. This work referenced the classification methodology of road system, and proposed a conception of pipeline stroke. Further, length of pipeline, angle between two pipelines, the pipeline belonged road level and diameter of pipeline were chosen as the similarity criterion to generate the pipeline stroke. Finally, designed the automatic method to generalize drainage systems with the concern of multi-features. This technique can improve the efficiency and accuracy of the generalization of drainage systems. In addition, it is beneficial to the study of urban storm-floods.