Publications [#60412] of Leslie M. Collins

Papers Published

1. Gao, Ping and Collins, Leslie, Comparison of optimal and suboptimal processors for classification of buried metal objects, IEEE Signal Processing Letters, vol. 6 no. 8 (1999), pp. 216 - 218 [97.774871]
   (last updated on 2007/04/11)

   Abstract:
   Classification of metal objects is important for landmine and unexploded ordnance applications. Previously, we have investigated optimal classification of landmine-like metal objects using wideband frequency-domain electromagnetic induction data [1]. Here, a suboptimal processor, which is computationally less burdensome than the optimal processor, is discussed. The data is first normalized, exploiting the fact that the level of the response changes significantly while the structure of the magnitude of the response changes only slightly as the target/sensor orientation changes for the class of objects considered. Results indicate that the suboptimal processor performance approaches that of the optimal classifier on normalized data. Thus, normalization mitigates the uncertainty resulting from the target/sensor orientation.

   Keywords:
   Frequency domain analysis;Computational complexity;Decision theory;Data processing;Computer simulation;Method of moments;