Tag Archives: Search Theory

Berkshires 2006 Sweep Width Experiment

In the summer of 2006, Rick Toman and Dan O'Connor (NewSAR) organized a sweep width experiment and summit called "Detection in the Berkshires" at Mount Greylock in Massachusetts. The data from that experiment has been used in previous blog posts, but hasn't been published independently. Continue reading

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Search Theory in C4ISR Journal

The C4ISR Journal had a recent search theory article quoting me along with Larry Stone. Continue reading

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OSARA Talks Online

OSARA conference link, with highlights from Ken Chiacchia's talk. Continue reading

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"Small Scatters of Generally Unobtrusive Artifacts"

When searching for an image for this post, I came across several works by E.B. Banning applying search theory to archaeology: Sweep widths and the detection of artifacts in archaeological survey. (2011) [Science Direct] Detection functions for archaeological survey (2006). … Continue reading

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A Brief Intro to Search Theory (2 of 4)

In the previous post, we began to build a theory of detection over time as the result of a very large number of independent glimpses.  By assuming the environment to be fixed for awhile, we moved all the environmental factors … Continue reading

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Brief Intro to SAR Theory (1 of 4)

We begin a four-part gentle introduction to search theory. Our topic is visual detection of targets by land searchers. Today we summarize Koopman Chapter 3, constructing the useful "inverse cube" detection model by starting from instantaneous glimpses with tiny detection … Continue reading

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MapScore: A Portal for Scoring Probability Maps

The SARBayes MapScore server has been running for a month now at http://mapscore.sarbayes.org.  It's a portal for scoring probability maps, so researchers like us can measure how well we are doing, and see which approaches work best for which situations.  … Continue reading

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MapSAR

Don Ferguson just sent me an update on the MapSAR project -- he's presenting at a project meeting this week in the Grand Canyon.  I'm blown away by his slides.  They've got it: a GIS enabled search planning tool with … Continue reading

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Bayesian Motion Models of LPB

Lin & Goodrich at Brigham Young are working on Bayesian motion models for generating probability maps. They have an interesting model, but need GPS tracks to train it. It's a nice complement to our approach, and it will be interesting … Continue reading

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Link between AMDR & ESW

The Correlation Why Care? Why not just believe the data? What is the AMDR? Teaser Appendix

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