- By:
- Rao, Nageswara S; Hooper, David A; Ladd-Lively, Jennifer L
- Page Number:
- 1-6
- Book Title:
- 2022 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)
- Publication Date:
- December 28, 2023
- Publisher Location:
- IEEE, New Jersey, United States of America
- Conference Name:
- 2022 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)
- Conference Location:
- Cranfield, United Kingdom
- Conference Sponsor:
- IEEE
- View DOI Listing:
- https://doi.org/10.1109/MFI55806.2022.9913854
Abstract
Three types of information fusion strategies are studied to assess the performance of classifiers for detecting low-level 235 U radiation sources, using features obtained from gamma spectra of NaI detectors. These three strategies are based on using two spectral region features, fusing eight classifiers of diverse designs, and fusing multiple detectors located at different positions around the source. The inner, middle and outer groups of detectors, within a formation of two concentric circles and a spiral of 21 detectors, are identified based on their distance to the source, which is located at the center. This study provides two main qualitative insights into this classification task. First, the fusion of detectors leads to an overall improved classification performance, least in the inner group, most in the outer group, and in between for the middle group. Second, several classifiers and fusers achieve lower training error which does not translate to lower generalization error, indicating their over-fitting to training data.
