Spatial Scan Density Estimates
Carey E. Priebe, Dalei Chen · Technometrics · 2001
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, but 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 is shown to be superior to conventional likelihood estimators. We investigate these spatial scan density estimates on example imagery from an unmanned aerial vehicle.