Abstract
We present a set of procedures to extract useful information from maps of cities in order to help in interpreting aerial images. The aim of this work is to combine semantic information issued from the map with the raw information coming from a picture. Several cues can be extracted from maps. The road network gives the structure of the city and cut the scene in small but coherent regions: the urban blocks. The map gives also a geometric and semantic description of the contents of each urban block. This information can then be used for the interpretation of aerial images.Two applications are briefly presented: the generation of a digital terrain model (DTM) in urban areas and the 3D-description of buildings1.
This work was sponsored by the CNET-Belfort under Research Contract 96 PE 7201.
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Roux, M., Maître, H. (1998). Map analysis for guided interpretation of aerial images. In: Tombre, K., Chhabra, A.K. (eds) Graphics Recognition Algorithms and Systems. GREC 1997. Lecture Notes in Computer Science, vol 1389. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-64381-8_53
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DOI: https://doi.org/10.1007/3-540-64381-8_53
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