The ability to classify asphalt surfaces is an important goal for the selection of suitable non-
variant targets as pseudo-invariant targets during the calibration/validation of remotely …

One of the main issues in the maintenance plans of road agencies or governmental
organizations is the early detection of damaged asphalt pavements. The development of a …

This research aims to define an efficient and fast quantification of bitumen removal on the
road surface by Digital Imaging Processing (DIP) and spectral analysis. The retrieval of …

This article focuses on the spectral variability of asphalt compared with its surface
characteristics, in particular, with the amount of exposed aggregate. Any uncertainties in the …

Abstract The Empirical Line Method (ELM) enables the calibration of multi-and hyper-
airborne/satellite image converting DN or radiance to reflectance values performed by using …

Pavement condition monitoring is fundamental for the efficient allocation of resources in
transportation asset management. However, data collection involves laborious and costly …

In the last years the use of remote sensed images for paved surfaces investigations has
been marked by a growing interest. This is mainly due to the need of more information about …

Il presente progetto di ricerca propone un approccio multidisciplinare per lo studio dei
conglomerati bituminosi e del loro grado di deterioramento. Tale studio unisce indagini …