ABSTRACT
In the last years, structural health monitoring field took advantage of the recent improvements both in term of scientific research and technologies. Typically, established surveying methods, based on traditional sensors, present some limitations related to the high cost in term of time and personal resources. Furthermore, they cannot be used while working with historical heritage or in case of inaccessibility of the site. These limitations can be overcome by approaches using remote techniques and dense data. This paper gives an overview on recent structural deformation monitoring techniques. Satellite and terrestrial radar interferometry, photogrammetry and machine learning will be presented, and some application will be discussed. The main focus of the paper is the capability of presented methodologies to return accurate results, provide useful data for structural monitoring also in integration with traditional techniques.
