Adaptive Multimodality Sensing of Landmines

Lihan He, Shihao Ji, Waymond R. Scott, Lawrence Carin
2007 IEEE Transactions on Geoscience and Remote Sensing  
The problem of adaptive multi-modality 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
more » ... odels. 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.
doi:10.1109/tgrs.2007.894933 fatcat:4qlujos4pvb3jlljtnmvf3nw4y