Inicio  /  Applied Sciences  /  Vol: 9 Par: 11 (2019)  /  Artículo
ARTÍCULO
TITULO

Image Classification for Automated Image Cross-Correlation Applications in the Geosciences

Niccolò Dematteis    
Daniele Giordan and Paolo Allasia    

Resumen

This study proposes a method that enables the automatic application of image cross-correlation when monitoring any displacements in the geosciences. As such, it solves one of the main current image processing issues: The requirement of manual image selection. The method reduces the need for extensive financial and human resources when conducting surveys, and it can be applied in a preventive warning context.

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