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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...
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 ...
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.
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...
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...

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