Point of interest (POI) data provide digital representations of places in the real world, and
have been increasingly used to understand human-place interactions, support urban …

Road matching is the prerequisite for integrating different data to obtain a complete, correct
road network. The growth of multi-source data calls for the advancement of matching …

Geospatial data conflation is the process of identifying and merging the corresponding
features in two datasets that represent the same objects in reality. Conflation is needed in a …

Object matching is a key technology for map conflation, data updating, and data quality
assessment. This article proposed a new Voronoi diagram-based approach for matching …

Ditches are vital to water system data. To ease the task of matching multi-scale ditch data
and enhance accuracy (Acc), it is essential to discern ditch data matching patterns. Despite …

Geospatial data conflation is the process of combining multiple datasets about a geographic
phenomenon to produce a single, richer dataset. It has received increased research …

Spatial data conflation is aimed at matching and merging objects in two datasets into a more
comprehensive one. Starting from the “map assignment problem” in the 1980s, optimized …

This research explores the application of a Quantum-Inspired Genetic Algorithm (QIGA) to
optimize complex systems, utilizing a numerical experiment with a focus on the objective …

The ever-increasing demand for digital maps in various domains amplifies the importance of
having accurate and up-todate maps. To address this, the proposed system pervasively …