October 28, 2015 ADSA13 Workshop

Amit Ashok College of Optical Sciences

University of Arizona

Mark Neifeld (PI) Ali Bilgin

Eric Clarkson University of Arizona

Michael Gehm Duke University

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Controller

(TSI optimal

fusion, adaptation, estimation, decision)

AIT

Trace

EO/IR Video Sensing

Passenger Information

Prior Knowledge (signals and task)

Conventional X-Ray

Novel X-Ray Modalities

Side Information Tasks 2.3 and 2.4

Task 1.1

Task 1.2

Task 1.3

Tasks 1.4, 2.1, and 2.2

Thrust 1 – Application of Current TSI Tools Task 1.1 - Signal and Task Priors Task 1.2 - TSI Analysis and Design for Current Systems Task 1.3 - Application of TSI to new Modalities Task 1.4 - Exploration of Adaptive TSI Strategies

Thrust 2 – Extension of Current TSI Tools Task 2.1 - Game Theoretic Approaches Task 2.2 - Joint Detection and Estimation Task 2.3 - TSI Optimal Fusion from Heterogeneous Data Task 2.4 - TSI Optimal Measurements on Graphical Models

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Thrust 2 – Extension of Current TSI Tools (Ashok) Thrust 1 – Application of Current TSI Tools (Gehm)

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ObjectDatabase

MaterialDatabase

SystemDescription

SimulationDescription

StochasticBag

GeneratorSourceModule

Interaction Module

Detection Module

ForwardModel

EntropyCalculation

DesignExplorations

nera

Measurements

TSI

DesignParameters

ObjectDescription

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JCS = DCS(p(g, C), p(g) · p(C))

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DCSp(gT )

q(gC)

− log cos[∠(p, q)]

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Selected results

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Pe/PD/PFA and ROC Analysis

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Pe/PD/PFA and ROC Analysis

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Reduction in measurements with no loss of performance

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Pe/PD/PFA and ROC Analysis

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