Road Networks Matching Supercharged With Embeddings
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- Road Networks Matching Supercharged With Embeddings
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Road Networks Matching Supercharged With Embeddings
GeoAI '24: Proceedings of the 7th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge DiscoveryThe increasing reliance on digital maps across various mobile applications highlights the critical need for integrating and reconciling map data from diverse sources, a process known as map conflation. A key challenge in map conflation is road network ...
A linear road object matching method for conflation based on optimization and logistic regression
The purpose of object matching in conflation is to identify corresponding objects in different data sets that represent the same real-world entity. This article presents an improved linear object matching approach, named the optimization and iterative ...
Automatic and Accurate Extraction of Road Intersections from Raster Maps
Since maps are widely available for many areas around the globe, they provide a valuable resource to help understand other geospatial sources such as to identify roads or to annotate buildings in imagery. To utilize the maps for understanding other ...
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New York, NY, United States
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