title: Detecting Corresponding Vertex Pairs between Planar Tessellation Datasets with Agglomerative Hierarchical Cell-Set Matching.
abstract: This paper proposes a method to detect corresponding vertex pairs between planar tessellation datasets. Applying an agglomerative hierarchical co-clustering, the method finds geometrically corresponding cell-set pairs from which corresponding vertex pairs are detected. Then, the map transformation is performed with the vertex pairs. Since these pairs are independently detected for each corresponding cell-set pairs, the method presents improved matching performance regardless of locally uneven positional discrepancies between dataset. The proposed method was applied to complicated synthetic cell datasets assumed as a cadastral map and a topographical map, and showed an improved result with the F-measures of 0.84 comparing to a previous matching method with the F-measure of 0.48.
authors.affiliation: Spatial Information Research Institute, Korea Cadastral Surveying Corp., Seoul, Korea.
authors.forename: Yong
authors.initials: Y
authors.lastname: Huh
authors.affiliation: Department of Civil and Environmental Engineering, Seoul National Univ., Seoul, Korea.
authors.forename: Kiyun
authors.initials: K
authors.lastname: Yu
authors.affiliation: Spatial Information Research Institute, Korea Cadastral Surveying Corp., Seoul, Korea.
authors.forename: Woojin
authors.initials: W
authors.lastname: Park
mesh_terms: D000465:Algorithms; D066264:Datasets as Topic; D008377:Maps as Topic