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Skeleton Line Extraction Method in Areas with Dense Junctions Considering Stroke Features
6 references·2 citing·21 second hop
Skeleton Line Extraction Method in Areas with Dense Junctions Considering Stroke Features (2019)Skeleton Line Extraction Method in Areas …A method for the extraction of partition lines from long and narrow patches that account for structural features (2019)A method for the extraction o…Map Generalization with a Triangulated Data Structure (2013)Map Generalization with a Tri…Road selection based on Voronoi diagrams and “strokes” in map generalization (2009)Road selection based on Voron…Algorithmic Foundation of Multi-Scale Spatial Representation (2006)Algorithmic Foundation of Mul…Aggregation and Amalgamation in Land-use Data Generalization (2002)Aggregation and Amalgamation …Determining objective weights in multiple criteria problems: The critic method (1995)Determining objective weights…An Automatic Generalization Method for a Dense Road Network Area Considering Spatial Structural Features as Constraints (2022)An Automatic Generalization M…An elimination method for isolated meshes in a road network considering stroke edge feature (2020)An elimination method for iso…Use of Graph Theory to Support Map Generalization (1993)An algorithm for point cluster generalization based on the Voronoi diagram (2008)Road network selection for medium scales using an extended stroke-mesh combination algorithm (2014)Discovering spatial and temporal patterns from taxi-based Floating Car Data: a case study from Nanjing (2017)Application of AHP to Road Selection (2020)The Aggregation of Urban Building Clusters Based on the Skeleton Partitioning of Gap Space (2007)Pattern recognition and correction method for skeleton lines at small patch boundaries (2020)Knowledge‐Guided Automated Cartographic Generalization Process Construction: A Case Study Based on Map Analysis of Public Maps of China (2024)Selective omission of road features based on mesh density for automatic map generalization (2009)A Road Network Selection Process Based on Data Enrichment and Structure Detection (2010)The National Science Foundation National Center for Geographic Information and Analysis (1987)Generalization in Digital Cartography (1992)Scaling of Geographic Space as a Universal Rule for Map Generalization (2013)A vector field model to handle the displacement of multiple conflicts in building generalization (2015)Envelope generation and simplification of polylines using Delaunay triangulation (2016)Measuring land fragmentation considering the shape of transportation network: A method to increase the accuracy of modeling the spatial structure of agriculture with case study in Poland (2018)Inter-company comparison using modified TOPSIS with objective weights (2000)A New Model for Determining Weight Coefficients of Criteria in MCDM Models: Full Consistency Method (FUCOM) (2018)Weighting methods for multi-criteria decision making technique (2019)Analyzing the effects of scale and land use pattern metrics on land use database generalization indices (2011)An area merging method in map generalization considering typical characteristics of structured geographic objects (2021)
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References

  • 1995Determining objective weights in multiple criteria problems: The critic method3,481 cited
  • 2006Algorithmic Foundation of Multi-Scale Spatial Representation148 cited
  • 2013Map Generalization with a Triangulated Data Structure81 cited
  • 2009Road selection based on Voronoi diagrams and “strokes” in map generalization54 cited
  • 2002Aggregation and Amalgamation in Land-use Data Generalization18 cited
  • 2019A method for the extraction of partition lines from long and narrow patches that account for structural features13 cited

Cited by

  • 2022An Automatic Generalization Method for a Dense Road Network Area Considering Spatial Structural Features as Constraints5 cited
  • 2020An elimination method for isolated meshes in a road network considering stroke edge feature4 cited

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