Signal and image classification in georadargrams

The given task in our joint project are the detection and location of hyperbolas generated by pipes and cables in the subsurface when illuminated with a common pulse radar, and to find classification indications of the object's nature. The processing of radar data is divided into several successive steps. First the hyperbola has to be detected in the radargram and the approximate location of the pixels belonging to the hyperbola has to be detected. We perform this by means of the Hough transform algorithm. To apply the correct preprocessing and processing strategy, classification of the radargrams by texture analysis is investigated. After the detection of the hyperbola, an analysis of the reflected wavelets can provide some clues about the object's nature. Although absolute classification, which can be derived straightforwardly from simulations, will be successful only in a few exceptional cases, signal analysis is very useful in three-dimensional tracking of objects.