Elimination of False Detections by Mathematical Morphology for a Semi-automatic Buildings Extraction of Multi Spectral Urban Very High Resolution IKONOS Images
A. Benali, H. DermÃƒÂ¨che2, E. Zigh1
Journal of Intelligent Computing, Vol. 5, No. 3, 2014.
DOI: 
Link: 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.