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;
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.
2007
978-960-6766-18-3
Object-Oriented Image Analysis, Morphological Based Segmentation, Fuzzy Classification, eCognition
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12318/15260
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