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An automatic road extraction method using a map-guided approach combined with neural networks for cartographic database validation purposes

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5 Author(s)
Fiset, R. ; Departement de Geographie, Univ. de Montreal, Que., Canada ; Cavayas, F. ; Mouchot, M.C. ; Solaiman, B.
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A method is proposed to extract road intersections from a SPOT panchromatic image, using a map-guided approach combined with the application of a neural network. The results show an average increase of 36% of planimetric accuracy after applying the method instead of simply superimposing the roads on the geocoded image. Also, only 8 out 42 samples were previously correctly traced, compared to 27 after application of the algorithm

Published in:

Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International  (Volume:1 )

Date of Conference:

27-31 May 1996