automatic road extraction from aerial images can be very helpful in traffic control and vehicle guidance systems. most of the road detection approaches are based on image segmentation algorithms. color-based segmentation is very sensitive to light changes and consequently the change of weather condition affects the recognition rate of road detection systems. in order to reduce the light change ...

Automatic road extraction from aerial images can be very helpful in traffic control and vehicle guidance systems. Most of the road detection approaches are based on image segmentation algorithms. Color-based segmentation is very sensitive to light changes and consequently the change of weather condition affects the recognition rate of road detection systems. In order to reduce the light change ...

Automatic road extraction from aerial images can be very helpful in traffic control and vehicle guidance systems. Most of the road detection approaches are based on image segmentation algorithms. Color-based segmentation is very sensitive to light changes and consequently the change of weather condition affects the recognition rate of road detection systems. In order to reduce the light change ...

Automatic change detection and data updating is a very important issue for keeping the temporal accuracy and currency of spatial data sets. Road networks are one of the most important parts of geographic database. Firstly two kinds of new algorithms for detecting feature changes that is buffer detection (BD) algorithm and double-buffer detection (DBD) algorithm are illustrated in detail. The co...

Automatic change detection and updating road networks is a key work for updating geo-spatial information especially in developing countries. Old GIS data can make road networks detection and extraction easier. However, detailed strategy and algorithms of automatic change detection for road networks based on GIS is not discussed in detail. Aiming at this, a strategy for automatic change detectio...

An automatic road sign detection system localizes road signs from within images captured by an on-board camera of a vehicle, and support the driver to properly ride the vehicle. Most existing algorithms include a preprocessing step, feature extraction and detection step. This paper arranges the methods applied to road sign detection into two groups: general machine learning, neural networks. In...

The goal of this study is to detect the main road network in high resolution, panchromatic SPOT satellite images. The applications of automatic road detection have attracted considerable interest in this problem [1–4], but no present system is completely satisfactory from the point of view of detection time, image size and required human intervention. We describe an automatic procedure for road...

Road feature is one of the most important features of urban. The change of road reflects construction speed of an urban. map road updating timely and exactly becomes an urgent issue. Current method updating of road feature is carried out complete manually, and has the disadvantage of tending to lose changed road and low automatic level. The updating of map road feature including two parts: one ...

Norsk Regnesentral (Norwegian Computing Center, NR) is a private, independent, non‐profit foundation established in 1952. NR carries out contract research and development projects in the areas of information and communication technology and applied statistical modelling. The clients are a broad range of industrial, commercial and public service organizations in the national as well as the inter...