DocumentCode :
1573434
Title :
Automatic detection of archaeological sites using a hybrid process of Remote Sensing, Gis techniques and a shape detection algorithm
Author :
Iorio, Alessio Di ; Bridgwood, Ian ; Carlucci, Renzo ; Bernardini, Fabrizio ; Rasmussen, Michael Schultz ; Sorensen, Mikael Kamp ; Osman, Ahmed
Author_Institution :
Rovsing A/S, Skovlunde
fYear :
2008
Firstpage :
1
Lastpage :
7
Abstract :
A method is presented for the automatic identification of lost or undiscovered archaeological sites in Egypt by using shape detection techniques on satellite imagery superposed in a GIS environment. For an area of interest, the EO data available from various satellites is pre-processed and from historical plans a shape file of the archaeological structure of interest is produced. A shape detection algorithm employing a shape matched operator is applied to the EO image to produce a detection image identifying the most probable location of the archaeological structure of interest. The shape-matched operator employed is the derivative of double exponential (DODE) operator. The final product is a GIS data set assembled as a list of required features and layers, all converted and processed in the same Geographical Reference System.
Keywords :
archaeology; geographic information systems; geophysical signal processing; image matching; remote sensing; shape measurement; GIS techniques; Geographical Reference System; archaeological sites detection; double exponential operator; remote sensing; satellite imagery; shape detection algorithm; shape matched operator; Assembly systems; Cultural differences; Detection algorithms; Documentation; Geographic Information Systems; Geography; Image analysis; Remote sensing; Satellites; Shape; Archeological site detection; automatic shape detection; component; gis; remote sensing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Communication Technologies: From Theory to Applications, 2008. ICTTA 2008. 3rd International Conference on
Conference_Location :
Damascus
Print_ISBN :
978-1-4244-1751-3
Electronic_ISBN :
978-1-4244-1752-0
Type :
conf
DOI :
10.1109/ICTTA.2008.4529910
Filename :
4529910
Link To Document :
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