Zgadzam się
Nasza strona zapisuje niewielkie pliki tekstowe, nazywane ciasteczkami (ang. cookies) na Twoim urządzeniu w celu lepszego dostosowania treści oraz dla celów statystycznych. Możesz wyłączyć możliwość ich zapisu, zmieniając ustawienia Twojej przeglądarki. Korzystanie z naszej strony bez zmiany ustawień oznacza zgodę na przechowywanie cookies w Twoim urządzeniu.
The article presents the analysis of both, synthetic
and experimental Ground Penetrating Radar (GPR) data by
the use of curvelet transform. The images, received from GPR
technique, called B-scans are 2D images, where the first
dimension represents time and the other one represents depth.
These images are often low resolution and noisy. Besides, Bscans
are often very difficult to interpret even for experts. That
is why the curvelet transform has been applied to clarify the
meaning of images. We have shown that the image analysis
process of B-scans can be automated by the use of curvelet
transform, which lets us detect the edges in any angle in the
image under consideration. It was proven that the proper
analysis and the choice of curvelet transform coefficients allows
to clearly specify the location of the target. The main advantage
of the curvelet analysis is the efficient detection even when we
deal with low resolution and noisy images.
