Landmine detection using fuzzy sets with GPR images

Author

Gader, Paul ; Keller, James M. ; Frigui, Hichem ; Liu, Hongwu ; Wang, Dayou

Author_Institution

Dept. of Comput. Eng. & Comput. Sci., Missouri Univ., Columbia, MO, USA

Volume

1

fYear

1998

fDate

4-9 May 1998

Firstpage

232

Abstract

This paper describes a fuzzy set based approach to the detection of landmines using a novel ground penetrating radar (GPR) imaging system. The GPR produces a three-dimensional array of intensity values, representing a volume below the surface of the ground. Multiple prototypes are generated from fuzzy clustering of gradient features on training data, and a fuzzy confidence is then constructed for the test data from the “object” prototypes. This confidence plane is used to automatically detect objects, which are then scored by the ground truth information. Results on the training and testing with the DARPA backgrounds data set (open fields) and mine lanes (roads) are analyzed

Keywords

fuzzy set theory; object detection; radar applications; radar imaging; 3D array; DARPA backgrounds data set; GPR images; fuzzy clustering; fuzzy sets; gradient features; ground penetrating radar imaging system; intensity values; landmine detection; mine lanes; multiple prototypes; object prototypes; roads; Fuzzy sets; Fuzzy systems; Ground penetrating radar; Landmine detection; Object detection; Prototypes; Radar detection; Roads; Testing; Training data;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on

Conference_Location

Anchorage, AK

ISSN

1098-7584

Print_ISBN

0-7803-4863-X

Type

conf

DOI

10.1109/FUZZY.1998.687489

Filename

687489