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Proceedings Paper

Models and inference for clustering of locations of mines and minelike objects
Author(s): Noel A. C. Cressie; Andrew B. Lawson
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Paper 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.

Paper Details

Date Published: 22 July 1997
PDF: 12 pages
Proc. SPIE 3079, Detection and Remediation Technologies for Mines and Minelike Targets II, (22 July 1997); doi: 10.1117/12.280880
Show Author Affiliations
Noel A. C. Cressie, Iowa State Univ. (United States)
Andrew B. Lawson, Univ. of Abertay Dundee (United Kingdom)


Published in SPIE Proceedings Vol. 3079:
Detection and Remediation Technologies for Mines and Minelike Targets II
Abinash C. Dubey; Robert L. Barnard, Editor(s)

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