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- W2984491192 abstract "This paper deals with the automatic detection of road network from aerial images. Our approach can be characterised by a two-level processing: firstly, a low-level knowledge is used to extract most of the roads, then semantic information is applied to solve interpretation problems. As we aim to implement this system in a production framework, we have been very careful about the reliability of the result. According to this objective, an incomplete but very reliable network is better than a complete o ne but that contains also many misdetections. The results are rather fair: we can assess that more than 60% of the road network could be automatically extracted. Nevertheles s, some cases will still require a human interpretation or the help of complementary data because of the complexity of some problems." @default.
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- W2984491192 date "1997-01-01" @default.
- W2984491192 modified "2023-09-26" @default.
- W2984491192 title "Toward an automatic extraction of the road network by local interpretation of the scene" @default.
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