Delineation of lineaments from satellite data based on efficient neural network and pattern recognition techniques

 
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2002 (EN)
Delineation of lineaments from satellite data based on efficient neural network and pattern recognition techniques (EN)

Περαντώνης, Σταύρος (EL)
Τσενόγλου, Θεοχάρης (EL)
Στεφανούλη, Μάρθα (EL)
Βασιλάς, Νικόλαος (EL)
Χάρου, Ελένη (EL)

Τεχνολογικό Εκπαιδευτικό Ίδρυμα Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Πληροφορικής Τ.Ε. (EL)
Βαρουφάκης, Σταύρος (EL)

An automated lineament detection method based on a modified Hough transform is presented. The method first performs an efficient data clustering using Kohonen’s self-organizing maps then binarizes the classification result and finally applies the modified Hough transform in order to identify lineaments. The capabilities of the method are described using Landsat TM satellite data from the Vermion area in Greece. The results of the automated analysis show major geological faults in the selected area. (EN)

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τεχνικές αναγνώρισης (EN)
Neural networks (EN)
νευρωνικά δίκτυα (EN)
recognition techniques (EN)
δορυφορικά δεδομένα (EN)
satellite data (EN)
τεχνητή νοημοσύνη (EN)
artificial intelligence (EN)

ΤΕΙ Αθήνας (EL)
Technological Educational Institute of Athens (EN)

2th Hellenic Conference on AI (EN)

English

2002-04

DOI: 10.1.1.75.6859



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