A Morphological Methodology for Features Identification in Satellite Images for Semi-automatic Cartographic Updating

  • Michele Mengucci
  • Fernando Muge
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2905)


This work investigates a way to exploit the information of satellite images in order to identify cartographic features, aiming at developing a software tool able to update digital maps automatically. A cartographic feature, like any object present in a multi-channel image, is a set of pixels with similar spectral response and a certain spatial relation between them. The current algorithm works iteratively and mixes the spatial information with the spectral one in an appropriate way to finally detect the whole shape of a cartographic feature starting from a pixel marked previously by the user in a remotely sensed image. It is also shown that Mathematical Morphology (MM) operators can handle the spatial and spectral information decreasing the computational cost. First, the structure of the main algorithm is presented, showing each step of its operational sequence. Then, some application examples are reported and, finally, some remarks illustrate the future possibilities of implementation and development of the algorithm.


Satellite Image Multispectral Image Mathematical Morphology Marker Image Catchment Basin 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Michele Mengucci
    • 1
  • Fernando Muge
    • 1
  1. 1.CRVM Centro de Geo-Sistemas do I.S.T.LisboaPortugal

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