Localización e identifi cación de Localización e identifi cación de activos soterrados activos soterrados mediante georadar y procesamiento de imagen
Abstract
There is a growing industrial interest, covering from the sector of Engineering
to the Environmental Management, among others, in the location of assets and
anomalies in the subsoil in an effi cient way and with a reduced error rate. It is
aimed to increase the security and precision in the inspection of the subsoil by
means of non-invasive and fast methods that could replace more traditional
methods of direct digging.
Nowadays, there is a wide range of sensors that can be used. One of them is the
georadar, Ground Penetrating Radar, from now on GPR, used in many different
disciplines such as archaeology, hydrology, forensics, engineering and civil
engineering, among others. The geophysical prospection with GPR is a technology
capable of solving the problem inherent to the knowledge of the subsoil. It allows
characterising perfectly the subsoil and the structures inside, in an effi cient and
accurate way, with a minimum impact.
As long as the technology goes forward, in many aspects of our life, it is possible to
accomplish several tasks in a fast, effi cient and automated way. Image processing
has consolidated as a reliable technology installed in a wide number of applications
for different problems. The high accuracy and resolution of the actual cameras, as
long as with the fast communication protocols and the services of the computers
make possible to solve diffi cult problems, usually hand-crafted in the near past.
In this article, we present an image processing application whose aim is to locate
and identify the buried assets that can be found in a subsoil survey. Therefore,
image processing techniques are applied to interpret the electromagnetic signals
coming from georadar.
First, the problem to be solved is shown, and some of the approaches to the
problem are enumerated, which have been tackled during last years. Next, the
proposed solution is thoroughly detailed together with their constituting elements,
also the obtained results and the conclusions extracted from this work are exposed.
