This paper presents the preliminary results of an object-based image analysis aimed at the implementation of a package of procedures of remotely sensed object/ pattern/ scenery recognition specifically designed for the semi-automatic and automatic recognition of a batch of critical archaeological and ethnoarchaeological features. The research focuses on the guided recognition of mountain and plain features with elliptic, linear and polygonal shape on high resolution aerial photographs and near-infrared imagery. Case studies from Northern Italy are investigated, stating the image processing steps and highlighting the pros and cons of using an artificial intelligence for the analysis in the domain of Remote Sensing.

GeOBIA Approaches to Remote Sensing of Fossil Landscapes: Two Case Studies from Northern Italy

DE GUIO, ARMANDO;MAGNINI, LUIGI;BETTINESCHI, CINZIA
2015

Abstract

This paper presents the preliminary results of an object-based image analysis aimed at the implementation of a package of procedures of remotely sensed object/ pattern/ scenery recognition specifically designed for the semi-automatic and automatic recognition of a batch of critical archaeological and ethnoarchaeological features. The research focuses on the guided recognition of mountain and plain features with elliptic, linear and polygonal shape on high resolution aerial photographs and near-infrared imagery. Case studies from Northern Italy are investigated, stating the image processing steps and highlighting the pros and cons of using an artificial intelligence for the analysis in the domain of Remote Sensing.
Across Space and Time
978908964715
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3174655
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