@article{1586,
  author = {A. Benali, H. Dermèche2, E. Zigh1},
  title = {Elimination of False Detections by Mathematical Morphology for a Semi-automatic Buildings Extraction of Multi Spectral Urban Very High Resolution IKONOS Images},
  journal = {Journal of Intelligent Computing},
  year = {2014},
  volume = {5},
  number = {3},
  doi = {},
  url = {http://www.dline.info/jic/fulltext/v5n3/1.pdf},
  abstract = {We propose in this paper a method based on mathematical morphology for building extraction in a very high spatial resolution satellite urban areas images, it requires no exogenous variable, unlike other approaches (e.g., using
elevation data or supervised classification post processing [1]). It consists on using several morphological operations such
as hit-or-miss transform (HMT), the geodesic reconstruction and smoothing. Comparative studies of two methods (including that of [1]) are presented showing the interest of the approach we used.},
}