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

Authors

Noel A. Cressie, Iowa State UniversityFollow
Andrew B. Lawson, University of Abertay Dundee

RIS ID

72976

Publication Details

Cressie, N. A. & Lawson, A. (1997). Models and inference for clustering of locations of mines and minelike objects. Proceedings of SPIE - The International Society for Optical Engineering 3079, Detection and Remediation Technologies for Mines and Minelike Targets II (pp. 519-530).

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.