Detection of radioactive sources in urban scenes using Bayesian Aggregation of data from mobile spectrometers

作者：

Highlights：

• Bayesian Aggregation fuses multiple observations to detect radiation sources.

• Source intensity and type information can be incorporated in detection.

• Properties of detected sources can be inferred for appropriate response.

摘要

Highlights•Bayesian Aggregation fuses multiple observations to detect radiation sources.•Source intensity and type information can be incorporated in detection.•Properties of detected sources can be inferred for appropriate response.

论文关键词：Machine learning,Data fusion,Bayesian methods

论文评审过程：Received 18 December 2014, Revised 7 October 2015, Accepted 16 October 2015, Available online 10 November 2015, Version of Record 3 February 2016.

论文官网地址：https://doi.org/10.1016/j.is.2015.10.006