Title :
The target detection for GPR images based on curve fitting
Author :
Yayu Liu ; Meiqing Wang ; Qiurong Cai
Author_Institution :
Coll. of Math. & Comput. Sci., Fuzhou Univ., Fuzhou, China
Abstract :
Due to the complexity of the medium composition, physical characteristics and the spreading of electromagnetic waves, the extraction and automatic target detection of the Ground-penetrating Radar (GPR) is extremely complicated and has become an important issue in the practical application of GPR. In this paper, a method based on curve fitting is proposed by using the hyperbolic echo characteristics. The edge lines of GPR images firstly obtained by using image preprocessing methods and hyperbolas are fitted to approximate the edges. Finally, hyperbolic echo apex positions in the GPR images are extracted and marked on their apexes. The experimental results show that all targets are detected correctly.
Keywords :
curve fitting; ground penetrating radar; object detection; GPR image; automatic target detection; curve fitting; electromagnetic waves; ground-penetrating radar; hyperbolic echo characteristics; image preprocessing method; medium composition; Curve fitting; Electromagnetic scattering; Ground penetrating radar; Image edge detection; Mathematical model; Object detection; Pixel; Gradient Magnitude; Ground Penetrating Radar (GPR); Hyperbola Fitting; Image Processing;
Conference_Titel :
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6513-2
DOI :
10.1109/CISP.2010.5646818