Extracción de Objetos Geográficos Mediante Morfología Matemática a partir de Transformadas Wavelet

Abstract

Mathematical morphology is useful when there are objects with a degree of ambiguity in their shape and characteristics, this paper shows an image of (Bogota DC), Colombia, the satellite World-view 2, which was subjected to digital processing, with the wavelet transforms and edge enhancement, Contourlet, Curvelet and Ridgilet transformed, obtaining increased spatial resolution for subsequent application of five algorithms of mathematical morphology, finding the filling region with the highest rate of assessment the kappa coefficient, these results were validated on two images of Landsat 8 (OLI) and IKONOS sensors; finally he gave result and product classification map coverage and land use , obtaining a high accuracy and a nearly perfect rating on the images processed in relation to the original