Models and inference for clustering of locations of mines and minelike objects

Noel A. C. Cressie; Andrew B. Lawson

doi:10.1117/12.280880

22 July 1997 Models and inference for clustering of locations of mines and minelike objects

Noel A. C. Cressie, Andrew B. Lawson

Proceedings Volume 3079, Detection and Remediation Technologies for Mines and Minelike Targets II; (1997) https://doi.org/10.1117/12.280880
Event: AeroSense '97, 1997, Orlando, FL, United States

Abstract

Mines and mine-like objects are distributed throughout an area of interest. Remote sensing of the area form an aircraft yields image data that represent the superposition of electromagnetic emissions from the mines and mine-like objects. In this article we build a hierarchical statistical model for the reconstruction of mien locations given a point pattern of the superposition of mines and mine-like objects. It is shown how inference on the mine locations can be obtained using Markov chain Monte Carlo methods.

Citation Download Citation

Noel A. C. Cressie and Andrew B. Lawson "Models and inference for clustering of locations of mines and minelike objects", Proc. SPIE 3079, Detection and Remediation Technologies for Mines and Minelike Targets II, (22 July 1997); https://doi.org/10.1117/12.280880

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