PATTERN CLASSIFICATION APPROACHES TO MATCHING BUILDING POLYGONS AT MULTIPLE SCALES

11 citations as recorded by crossref.

1. Geospatial data conflation: a formal approach based on optimization and relational databases T. Lei 10.1080/13658816.2020.1778001
2. Multiscale Spatial Polygonal Object Granularity Factor Matching Method Based on BPNN D. Zhu et al. 10.3390/ijgi10020075
3. Aligning geographic entities from historical maps for building knowledge graphs K. Sun et al. 10.1080/13658816.2020.1845702
4. Global optimisation matching method for multi-representation buildings constrained by road network G. Luo & K. Qin 10.3233/JCM-226820
5. M:N Object matching on multiscale datasets based on MBR combinatorial optimization algorithm and spatial district L. Liu et al. 10.1111/tgis.12488
6. Conflating linear features using turning function distance: A new orientation‐sensitive similarity measure T. Lei & R. Wang 10.1111/tgis.12726
7. Matching of Polygon Objects by Optimizing Geometric Criteria A. Moeini Roudbali et al. 10.52547/jgit.9.3.1
8. Complex buildings orientation recognition and description based on vector reconstruction W. Ma et al. 10.1016/j.jag.2023.103486
9. Data matching of building polygons at multiple map scales improved by contextual information and relaxation X. Zhang et al. 10.1016/j.isprsjprs.2014.03.010
10. Towards Topological Geospatial Conflation: An Optimized Node-Arc Conflation Model for Road Networks Z. Lei & T. Lei 10.3390/ijgi13010015
11. Incorporating ideas of structure and meaning in interactive multi scale mapping environments G. Touya et al. 10.1080/23729333.2023.2215960