Papers Published

1. He, L; Ji, S; Scott, WR; Carin, L, Adaptive multimodality sensing of landmines, IEEE Transactions on Geoscience and Remote Sensing, vol. 45 no. 6 (June, 2007), pp. 1756-1773, Institute of Electrical and Electronics Engineers (IEEE) [doi] .
   (last updated on 2024/12/31)

   Abstract:
   The problem of adaptive multimodality sensing of landmines is considered based on electromagnetic induction (EMI) and ground-penetrating radar (GPR) sensors. Two formulations are considered based on a partially observable Markov decision process (POMDP) framework. In the first formulation, it is assumed that sufficient training data are available, and a POMDP model is designed based on physics-based features, with model selection performed via a variational Bayes analysis of several possible models. In the second approach, the training data are assumed absent or insufficient, and a lifelong-learning approach is considered, in which exploration and exploitation are integrated. We provide a detailed description of both formulations, with example results presented using measured EMI and GPR data, for buried mines and clutter. © 2007 IEEE.