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Proceedings Paper

LADAR recognition challenge problem
Author(s): Adam Nolan; Dan Kubaki; Timothy Ross; Joshua Blackburn; Mike Bakich
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Paper Abstract

This paper presents a LADAR recognition challenge problem. There are two unique components of this challenge problem: the focus on condence estimates and the explicit model of the recognition output as a function of operating conditions (OCs). To promote the development of exploitation algorithms that map OCs onto condence estimates, a set of synthetic data has been generated that explicitly samples specic OC dimensions: resolution, noise, aspect, obscuration, and library. Submitted algorithms will be evaluated based on their ability to correctly estimate the condence based on OC knowledge. Tools will be provided to generate performance metrics on data sets. Participants will submit their algorithms for evaluation on a sequestered set of data. The resulting performance metrics will be made available online so participants can evaluate their algorithms relative to their peers.

Paper Details

Date Published: 17 May 2012
PDF: 12 pages
Proc. SPIE 8392, Signal Processing, Sensor Fusion, and Target Recognition XXI, 83921K (17 May 2012); doi: 10.1117/12.920841
Show Author Affiliations
Adam Nolan, Air Force Research Lab. COMPASE Ctr. (United States)
Dan Kubaki, Air Force Research Lab. COMPASE Ctr. (United States)
Timothy Ross, Air Force Research Lab. COMPASE Ctr. (United States)
Joshua Blackburn, Air Force Research Lab. COMPASE Ctr. (United States)
Mike Bakich, Air Force Research Lab. COMPASE Ctr. (United States)


Published in SPIE Proceedings Vol. 8392:
Signal Processing, Sensor Fusion, and Target Recognition XXI
Ivan Kadar, Editor(s)

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