Share Email Print
cover

Proceedings Paper

Comparison of fuzzy-cluster-based time-frequency signatures for automatic classification of underground minelike targets
Author(s): Steffan Abrahamson; Anders Ericsson; Anders Gustafsson; Hans C. Strifors; Guillermo C. Gaunaurd
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Metal and nonmetal objects, buried to a selected depth in dry sand in an indoor sandbox, are illuminated by an impulse radar system playing the role of a ground penetrating radar (GPR). The recorded time-series data of backscattered echoes from these targets are analyzed in the joint time-frequency domain using a pseudo-Wigner distribution (PWD). These distributions with their extracted features in the two-dimensional time- frequency domain are viewed as the target signatures. We have previously demonstrated the usefulness of the PWD for target identification purposes, in particular the merits of the PWD relative to various competing time-frequency distributions for targets buried at different depths. We have also used a classification method developed from the fuzzy C-means (FCM) clustering technique to reduce the number and kind of features in the PWD signature templates. This is accomplished by converting the PWD signature into a representation by a cluster of points associated with a weight and then reducing the cluster to a number of (weightless) cluster centers. We investigate here how the selected number of cluster centers and the choice of a governing parameter in the FCM algorithm influence the target recognition capability of the resulting signature representations. The classification algorithm is tested against validation data taken from an additional set of returned echoes. The same targets are used but they are buried at a different location in the sand. Class membership of a target is then decided using a simple metric. The results of our investigation serve to assess the possibility of identifying subsurface targets using a GPR, by means of the present technique.

Paper Details

Date Published: 24 August 1999
PDF: 12 pages
Proc. SPIE 3718, Automatic Target Recognition IX, (24 August 1999); doi: 10.1117/12.359943
Show Author Affiliations
Steffan Abrahamson, FOA/Defence Research Establishment (Sweden)
Anders Ericsson, FOA/Defence Research Establishment (Sweden)
Anders Gustafsson, FOA/Defence Research Establishment (Sweden)
Hans C. Strifors, FOA/Defence Research Establishment (Sweden)
Guillermo C. Gaunaurd, Naval Surface Warfare Ctr. (United States)


Published in SPIE Proceedings Vol. 3718:
Automatic Target Recognition IX
Firooz A. Sadjadi, Editor(s)

© SPIE. Terms of Use
Back to Top