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OpenStreetMap (OSM) is the largest spatial database of the world. One of the most frequently occurring geospatial elements within this database is the road network, whose quality is crucial for applic...
ROAD NETWORK GENERALIZATION BASED ON FLOAT CAR TRACKING     Road network  Dynamic attributes  Mapping,Gathering  Topology       font style='font-size:12px;'> 2016/11/8
Road generalization is not only helpful to simplify complicated road networks but can also satisfy the needs of reasonable display of roads under varying scales, thus offering basis for updating and g...
The objective of this research is the automatic extraction of the road network in a scene of the urban area from a high resolution digital surface model (DSM). Automatic road extraction and modeling f...
This paper presents an automatic methodology for spatial road network extraction from multi spectral remote sensing images with floating car data. Basically, it can be divided into two steps. In the f...
Road Network Detection by Growing Neuron Gas     neural network  image analysis  self-organization       font style='font-size:12px;'> 2015/12/9
The growing neuron gas (GNG) algorithm is an excellent self-organization tool, which efficiently combines the graph and neural network techniques. The gas formation starts with two connected neurons a...
Navigable geographic framework data functions as the geo-spatial referencing framework that integrates traffic maneuver and POI(s). The main difference between the navigable geographic framework and...
The management of existing road networks and their cost-efficient maintenance is of increasing importance, especially there where networks are almost completed. Road monitoring for the assessment of ...
Automatic road map updating has been one of the difficult and important research topics in the community of geomatics. An operational road map updating system should include three key components: the ...
SPATIO-TEMPORAL METHODS TO REDUCE DATA UNCERTAINTY IN RESTRICTED MOVEMENT ON A ROAD NETWORK.
UPDATE OF THE CANADIAN ROAD NETWORK IN A DISTRIBUTED GEO-SPATIAL DATA FRAMEWORK.
ROAD NETWORK EXTRACTION BY HIERARCHICAL GROUPING     Feature Extraction  Image Processing  Photogrammetry  Recognition  Topology       font style='font-size:12px;'> 2014/12/31
This paper presents an automatic method for road network extraction from low-resolution images using hierarchical grouping technique. The method consists of three major steps: firstly it extracts line...
Capturing Road Network Data Using Mobile Mapping Technology     DATA CAPTURE  MOBILE MAPPING  GPS       font style='font-size:12px;'> 2014/12/30
The continuous improvement and application of computer technology is rapid changing the way the people manage their environments. With the sophisticated software in use, data acquisition is becoming t...
Map conflation investigates the unique identification of geographical entities across different maps depicting the same geographic region. It involves a matching process which aims to find commonali...
Based on space syntax theory, the spatial accessibility of the road network in Wuhan Metropolitan Area has been quantitatively analyzed by building a series of accessibility variables. Topologic conne...
Based on space syntax theory, the spatial accessibility of the road network in Wuhan Metropolitan Area has been quantitatively analyzed by building a series of accessibility variables. Topologic conne...

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