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A Decision Support System for the In...

Park, Gi Yeon.

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A Decision Support System for the Intelligence Satellite Analyst.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	A Decision Support System for the Intelligence Satellite Analyst./
Author:	Park, Gi Yeon.
Description:	159 p.
Notes:	Source: Dissertation Abstracts International, Volume: 74-09(E), Section: B.
Contained By:	Dissertation Abstracts International74-09B(E).
Subject:	Engineering, General. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3562333
ISBN:	9781303099175

A Decision Support System for the Intelligence Satellite Analyst.
Park, Gi Yeon.

A Decision Support System for the Intelligence Satellite Analyst. - 159 p.

Source: Dissertation Abstracts International, Volume: 74-09(E), Section: B.

Thesis (Ph.D.)--North Carolina Agricultural and Technical State University, 2013.

The study developed a decision support system known as Visual Analytic Cognitive Model (VACOM) to support the Intelligence Analyst (IA) in satellite information processing task within a Geospatial Intelligence (GEOINT) domain. As a visual analytics, VACOM contains the image processing algorithms, a cognitive network of the IA mental model, and a Bayesian belief model for satellite information processing. A cognitive analysis tool helps to identify eight knowledge levels in a satellite information processing. These are, spatial, prototypical, contextual, temporal, semantic, pragmatic, intentional, and inferential knowledge levels, respectively. A cognitive network was developed for each knowledge level with data input from the subjective questionnaires that probed the analysts' mental model. VACOM interface was designed to allow the analysts have a transparent view of the processes, including, visualization model, and signal processing model applied to the images, geospatial data representation, and the cognitive network of expert beliefs. VACOM interface allows the user to select a satellite image of interest, select each of the image analysis methods for visualization, and compare `ground-truth' information against the recommendation of VACOM. The interface was designed to enhance perception, cognition, and even comprehension to the multi and complex image analyses by the analysts. A usability analysis on VACOM showed many advantages for the human analysts. These include, reduction in cognitive workload as a result of less information search, the IA can conduct an interactive experiment on each of his/her belief space and guesses, and selection of best image processing algorithms to apply to an image context.

ISBN: 9781303099175Subjects--Topical Terms:

1020744
Engineering, General.

A Decision Support System for the Intelligence Satellite Analyst.
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020 $a 9781303099175
035 $a (UMI)AAI3562333
035 $a AAI3562333
040 $a UMI $c UMI
100 1 $a Park, Gi Yeon. $3 2092264
245 1 2 $a A Decision Support System for the Intelligence Satellite Analyst.
300 $a 159 p.
500 $a Source: Dissertation Abstracts International, Volume: 74-09(E), Section: B.
500 $a Adviser: Celestine A. Ntuen.
502 $a Thesis (Ph.D.)--North Carolina Agricultural and Technical State University, 2013.
520 $a The study developed a decision support system known as Visual Analytic Cognitive Model (VACOM) to support the Intelligence Analyst (IA) in satellite information processing task within a Geospatial Intelligence (GEOINT) domain. As a visual analytics, VACOM contains the image processing algorithms, a cognitive network of the IA mental model, and a Bayesian belief model for satellite information processing. A cognitive analysis tool helps to identify eight knowledge levels in a satellite information processing. These are, spatial, prototypical, contextual, temporal, semantic, pragmatic, intentional, and inferential knowledge levels, respectively. A cognitive network was developed for each knowledge level with data input from the subjective questionnaires that probed the analysts' mental model. VACOM interface was designed to allow the analysts have a transparent view of the processes, including, visualization model, and signal processing model applied to the images, geospatial data representation, and the cognitive network of expert beliefs. VACOM interface allows the user to select a satellite image of interest, select each of the image analysis methods for visualization, and compare `ground-truth' information against the recommendation of VACOM. The interface was designed to enhance perception, cognition, and even comprehension to the multi and complex image analyses by the analysts. A usability analysis on VACOM showed many advantages for the human analysts. These include, reduction in cognitive workload as a result of less information search, the IA can conduct an interactive experiment on each of his/her belief space and guesses, and selection of best image processing algorithms to apply to an image context.
590 $a School code: 1544.
650 4 $a Engineering, General. $3 1020744
650 4 $a Engineering, Industrial. $3 626639
690 $a 0537
690 $a 0546
710 2 $a North Carolina Agricultural and Technical State University. $b Industrial and Systems Engineering. $3 2092220
773 0 $t Dissertation Abstracts International $g 74-09B(E).
790 1 0 $a Ntuen, Celestine A., $e advisor
790 1 0 $a Seong, Younho $e committee member
790 1 0 $a Mountjoy, Daniel $e committee member
790 1 0 $a Jiang, Zongliang $e committee member
790 $a 1544
791 $a Ph.D.
792 $a 2013
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3562333