Papers Published

1. P. Torrione and L. M. Collins, Texture features for antitank landmine detection using ground penetrating radar, Ieee Transactions On Geoscience And Remote Sensing, vol. 45 no. 7 (July, 2007), pp. 2374 -- 2382 .
   (last updated on 2008/10/16)

   Abstract:
   In this paper, we consider, the application of texture features for antitank landmine detection in ground-penetrating-radar data in the difficult scenario of very high clutter environments. In particular, we develop a technique for 3-D texture feature extraction, and we compare the results for landmine/clutter discrimination using classifiers that are built on 3-D as well as on 2-D texture feature sets. Our results indicate performance improvements across several different challenging testing scenarios when using the relevance-vector-machine classifiers that are trained on our 3-D feature sets as compared to the performance using the 2-D texture feature sets.