Detection of circular structures on satellite images
Por:
Taud H., Parrot J.-F.
Publicada:
1 ene 1992
Resumen:
An unsupervised method is proposed for detecting circular structures on satellite images partly based on a version of the Hough Transform. This method consists of two major steps: The extraction of significant coniours from the image, using mathematical morphology operators, and the detection of circular structures from the contours previously defined. The latter includes four substeps: Individualization of the curves, decomposition of the curves into near-circular elements, application of the ’adaptive HT’ version to each near-circular element, and computation of more precise results. As an example, the method is applied to a SPOT scene in Southern Peru to detect geological structures. © 1992 Taylor & Francis Ltd.
Filiaciones:
Taud H.:
Université Mohammed V, Departement de Physique, Laboratoire L.E.T.S, Avenue Ibn Battouta, Rabat Agdal, 1014, Morocco
Parrot J.-F.:
Universite Pierre et Marie Curie, Departement de Geotectonique4, Placc Jussieu, Tour 26, Paris Cedex 05, 75230, France
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