Comparison of fuzzy-cluster-based time-frequency signatures for automatic classification of underground minelike targets

Steffan Abrahamson; Anders Ericsson; Anders Gustafsson; Hans C. Strifors; Guillermo C. Gaunaurd

doi:10.1117/12.359943

24 August 1999 Comparison of fuzzy-cluster-based time-frequency signatures for automatic classification of underground minelike targets

Steffan Abrahamson, Anders Ericsson, Anders Gustafsson, Hans C. Strifors, Guillermo C. Gaunaurd

Author Affiliations +

Proceedings Volume 3718, Automatic Target Recognition IX; (1999) https://doi.org/10.1117/12.359943
Event: AeroSense '99, 1999, Orlando, FL, United States

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.

Citation Download Citation

Steffan Abrahamson, Anders Ericsson, Anders Gustafsson, Hans C. Strifors, and Guillermo C. Gaunaurd "Comparison of fuzzy-cluster-based time-frequency signatures for automatic classification of underground minelike targets", Proc. SPIE 3718, Automatic Target Recognition IX, (24 August 1999); https://doi.org/10.1117/12.359943

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