The aim of this contribute is to examine an application of Object Oriented Image Analysis on very high resolution data, particularly on Ikonos images - multispectral and panchromatic – of Bagnara Calabra, in the province of Reggio Calabria. Our objectives are to show as an automatic analysis – with a minimal manual participation - can get a good classification also in presence of high and very high resolution data of small cities, where higher is an error possibility, and as is possible to find new constructions and eventual building abuses through the comparison of satellite data transformed in polygons, examining them through a procedure distinguishing in common and not common to the two photos.
“An Application Of Object Oriented Analysis to Very High Resolution Satellite Data On Small Cities For Change Detection” / Barrile, Vincenzo; Bilotta, G. - (2007), pp. 98-103. (Intervento presentato al convegno 3rd WSEAS Conference on Remote Sensing (REMOTE '07) tenutosi a Venice nel 21-23/11/2007).
“An Application Of Object Oriented Analysis to Very High Resolution Satellite Data On Small Cities For Change Detection”
BARRILE, Vincenzo;
2007-01-01
Abstract
The aim of this contribute is to examine an application of Object Oriented Image Analysis on very high resolution data, particularly on Ikonos images - multispectral and panchromatic – of Bagnara Calabra, in the province of Reggio Calabria. Our objectives are to show as an automatic analysis – with a minimal manual participation - can get a good classification also in presence of high and very high resolution data of small cities, where higher is an error possibility, and as is possible to find new constructions and eventual building abuses through the comparison of satellite data transformed in polygons, examining them through a procedure distinguishing in common and not common to the two photos.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.