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Inicio  /  Applied Sciences  /  Vol: 12 Par: 5 (2022)  /  Artículo
ARTÍCULO
TITULO

A Satellite Data Mining Approach Based on Self-Organized Maps for the Early Warning of Ground Settlements in Urban Areas

Augusto Montisci and Maria Cristina Porcu    

Resumen

The proposed method is a neural-network-based tool for the early warning of ground settlement hazard in urban areas. On the basis of the analysis of MT-InSAR data through an unsupervised learning, the method can find precursors of similar time-evolving phenomena. The method can be applied under different warning criteria and for different hyper-parameters of the monitoring system.

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Revista: Applied Sciences