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Proceedings Paper

Spatial scan density estimates
Author(s): Carey E. Priebe; Dalei Chen
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Paper Abstract

The detection and identification of regions of interest in spatial or temporal data is a common concern in automatic target recognition. One approach to region of interest identification involves the use of spatial scan statistics. A difficulty arises due to competing concerns: small scan windows are required for potentially small targets while larger scan windows are necessary to improve the accuracy of the detector. When the scan statistics are mixture model density estimates, a borrowed strength profile likelihood approach can be shown to be superior to conventional likelihood estimators.

Paper Details

Date Published: 18 September 1998
PDF: 11 pages
Proc. SPIE 3371, Automatic Target Recognition VIII, (18 September 1998); doi: 10.1117/12.323849
Show Author Affiliations
Carey E. Priebe, Johns Hopkins Univ. (United States)
Dalei Chen, Johns Hopkins Univ. (United States)


Published in SPIE Proceedings Vol. 3371:
Automatic Target Recognition VIII
Firooz A. Sadjadi, Editor(s)

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