Automatic comparison of a topographic map with remotely sensed images in a map updating perspective: the road network case
A map guided procedure to automatically extract the road network from SPOT-HRV panchromatic images is proposed in a topographic map revision perspective. This procedure allows highly accurate results to be obtained independently of the density and the shape of the road network. The procedure is described in detail, along with our conclusions concerning the optimal conditions of its application. Some preliminary results are also shown concerning the introduction of a back-propagation neural network to extract the road network. This approach is considered to eliminate the problems associated with the grey level value and edge intervals. In the proposed procedure these intervals are necessary to detect the roads and must be specified every time to adapt to the particular radiometric content of a new image.
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