Supervised change detection techniques for multisensor SAR/multispectral high-resolution data in ...

Università di Genova
September 21 2017
Position Type
Full Time
Organization Type

In the framework of environmental risk management, the candidate shall conduct an analysis of the state of the art and shall develop novel methodologies for supervised change detection with multisensor remote sensing data within the following applications:

- monitoring of post-disaster recovery. The technique to be developed will be framed within multitemporal and multisensor (optical/radar) data fusion at very high spatial resolution.

- support to the monitoring of the global indicators in groups C and D of the Sendai Framework for Action. The method will be an extension of the previous one and will be aimed at the discrimination of element-at-risk classes and of their temporal transitions in the area of interest, in order to contribute to the evaluation of their vulnerability

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