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This paper focuses on internal quality measures for automatic road extraction from aerial images taken over urban areas. The motivation of this work is twofold: Firstly, any automatic system should p...
SPATIO-TEMPORAL METHODS TO REDUCE DATA UNCERTAINTY IN RESTRICTED MOVEMENT ON A ROAD NETWORK.
EVALUATION OF AUTOMATIC ROAD EXTRACTION RESULTS FROM SAR IMAGERY.
QUALITY CONTROL AND UPDATING OF ROAD DATA BY GIS-DRIVEN ROAD EXTRACTION FROM IMAGERY.
UPDATE OF THE CANADIAN ROAD NETWORK IN A DISTRIBUTED GEO-SPATIAL DATA FRAMEWORK.
SOIL ENGINEERING INTERPRETATION FOR ROAD ALLOCATION SOKOTO STATE NIGERIA.
The paper describes Total Station, Differential Global Positioning System (DGPS), Videologging softphotogrammetric and virtual reality methods of collecting data on road side features of urban, city a...
In this paper we combine two approaches for road extraction. The first approach makes use of multiple scales to detect roads segments and employs local grouping criteria and also context information t...
A novel approach to semi-automated road centerline extraction from remotely sensed imagery is introduced. Providing inspiration is Kohonen’s self-organizing map (SOM) algorithm. With IFOV < 2m, road f...
The objective of the presented work is the automatic segmentation of urban areas from high resolution satellite images,such as MOMS-02 images or from aerial images taken from high altitude flights. Th...
Road network of the Asia plays a vital role in economic development of the region by providing access to underdeveloped areas. Keeping the importance of an efficient road network in view, Asian Highwa...
In this contribution, we introduce our concept for automatic road extraction in urban areas using high resolution aerial imagery and dense height information. For facilitating the extraction we use a ...
This paper targets the reconstruction of 3D urban models consisting of realistic architecture models and different objects on a ground surface. When reconstructing 3D urban models it is necessary to h...
This paper deals with an innovative approach for achieving an automatic vision system for road surface texture classifi-cation. A road surface is composed by aggregates with a particular grain size di...

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