IEEE Systems, Man, and Cybernetics Magazine - January 2018 - 38

For example, we selected the HSV algorithm based on its ability to detect red
objects with high precision.
AMADS Results
Missile-Defense Scenario
We ran the AMADS with the SMM for the
missile-defense scenario across five phases of the missile life cycle (i.e., manufac(a)
(b)
(c)
turing, fielding and deployment, boost,
midcourse, and terminal). Figure 5 provides the DES front face for one run of the
AMADS, showing the probabilities associated with each missile phase. This figure
shows the missile's life cycle phases;
the SMM probability computation for
(d)
(e)
(f)
Pnegation, Pdeploy, and Peffectiveness, and Pk per
phase; the number of simulation runs and
Figure 4. The remote-object-location scenario demo data set: (a) OIRDS
the corresponding Monte Carlo status for
(862 images, 200 × 200 pixels); (b) IKONOS GeoEye (two images, 14,000
confidence interval computation; and a
× 16,000 pixels); (c) unknown satellite (two images, 10,000 × 12,000
pixels); (d) DigitalGlobe (one image, 1,000 × 800 pixels); (e) Google
representative view of the number of misImages (13 images, varies, up to 1,600 × 1,000 pixels); and (f) Google
siles negated, both nonkinetically (red Xs)
Maps (60 images, varies, up to 1,200 × 800 pixels).
and kinetically (black Xs).
Figure 6 presents these same results in
ship detection algorithm and a simple suite of anomaly
bar graph form. We applied nonkinetic techniques alone for
detection, water determination, land determination, and
the manufacturing, fielding-and-deployment, and boost
hue saturation value (HSV) matching algorithms. Be phases, while kinetic techniques alone were applied for the
cause the focus of this research was on the adaptability
midcourse and terminal phases. To distinguish Ps for the
of the AMADS rather than the robustness of the search
nonkinetics from the kinetics, we expressed Ps for nonkialgorithms, we selected algorithms based on their availnetic techniques as Pnegation and Ps for kinetic techniques as
ability, ease of integration, and (in some cases) precision.
Pk . As discussed in the "Approach" section, the SMM treats

Fielding and
Deployment
(Phase 1)

Manufacturing
(Phase 0)
Simulation Setup
Number of Runs: 10
Run Simulation
Animation
On

Animation
Off

Monte Carlo Status
Correct Run
10
Total Runs

10

Boost
(Phase 2)

Midcourse
(Phase 3)

Terminal
(Phase 4)

Layer

Pdeploy

Peffectiveness

Pnegation

Pk

Terminal (Phase 4)

0

0

0

0.923

Midcourse (Phase 3)

0

0

0

0.915

Boost (Phase 2)

0.196

0.388

0.0719

0

Fielding and
Deployment (Phase 1)

0.364

0.125

0.0509

0

Manufacturing (Phase 0)

0.365

0.196

0.0725

0

Negated Threats
Total: 40
Current: 40

100%
Figure 5. The DES front face for the missile-defense scenario.
38

IEEE SYSTEMS, MAN, & CYBERNETICS MAGAZINE Janu ar y 20 18



Table of Contents for the Digital Edition of IEEE Systems, Man, and Cybernetics Magazine - January 2018

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