Upload
others
View
1
Download
0
Embed Size (px)
Citation preview
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
1
• • •
2
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
3
Thrust 2 – Extension of Current TSI Tools (Ashok) Thrust 1 – Application of Current TSI Tools (Gehm)
4
5
6
7
ObjectDatabase
MaterialDatabase
SystemDescription
SimulationDescription
StochasticBag
GeneratorSourceModule
Interaction Module
Detection Module
ForwardModel
EntropyCalculation
DesignExplorations
nera
Measurements
TSI
DesignParameters
ObjectDescription
•
•
•
8
9
JCS = DCS(p(g, C), p(g) · p(C))
•
•
10
DCSp(gT )
q(gC)
− log cos[∠(p, q)]
- -
-
-
- - -
-
- - - -
- -
11
Selected results
12
13
•
• •
14
Pe/PD/PFA and ROC Analysis
• •
•
15
Pe/PD/PFA and ROC Analysis
16
Reduction in measurements with no loss of performance
• •
•
17
•
18
Pe/PD/PFA and ROC Analysis
•
•
•
•
•
19