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

Volume

6

fYear

2010

fDate

16-18 Oct. 2010

Firstpage

2876

Lastpage

2879

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing (CISP), 2010 3rd International Congress on

Conference_Location

Yantai

Print_ISBN

978-1-4244-6513-2

Type

conf

DOI

10.1109/CISP.2010.5646818

Filename

5646818