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Multispectral persistent surveillance.

Rochester Institute of Technology., Imaging Science.

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Multispectral persistent surveillance.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Multispectral persistent surveillance./
Author:	Adams, Andrew J.
Description:	150 p.
Notes:	Adviser: John R. Schott.
Contained By:	Dissertation Abstracts International69-03B.
Subject:	Remote Sensing. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3304171
ISBN:	9780549524861

Multispectral persistent surveillance.
Adams, Andrew J.

Multispectral persistent surveillance. - 150 p.

Adviser: John R. Schott.

Thesis (Ph.D.)--Rochester Institute of Technology, 2008.

The goal of a successful surveillance system to achieve persistence is to track everything that moves, all of the time, over the entire area of interest. The thrust of this thesis is to identify and improve upon the motion detection and object association aspect of this challenge by adding spectral information to the equation. Traditional motion detection and tracking systems rely primarily on single-band grayscale video, while more current research has focused on sensor fusion, specifically combining visible and IR data sources. A further challenge in covering an entire area of responsibility (AOR) is a limited sensor field of view, which can be overcome by either adding more sensors or multi-tasking a single sensor over multiple areas at a reduced frame rate. As an essential tool for sensor design and mission development, a trade study was conducted to measure the potential advantages of adding spectral bands of information in a single sensor with the intention of reducing sensor frame rates. Thus, traditional motion detection and object association algorithms were modified to evaluate system performance using five spectral bands (visible through thermal IR), while adjusting frame rate as a second variable. The goal of this research was to produce an evaluation of system performance as a function of the number of bands and frame rate. As such, performance surfaces were generated to assess relative performance as a function of the number of bands and frame rate.

ISBN: 9780549524861Subjects--Topical Terms:

1018559
Remote Sensing.

Multispectral persistent surveillance.
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008 110517s2008 ||||||||||||||||| ||eng d
020 $a 9780549524861
035 $a (UMI)AAI3304171
035 $a AAI3304171
040 $a UMI $c UMI
100 1 $a Adams, Andrew J. $3 1264083
245 1 0 $a Multispectral persistent surveillance.
300 $a 150 p.
500 $a Adviser: John R. Schott.
500 $a Source: Dissertation Abstracts International, Volume: 69-03, Section: B, page: 1534.
502 $a Thesis (Ph.D.)--Rochester Institute of Technology, 2008.
520 $a The goal of a successful surveillance system to achieve persistence is to track everything that moves, all of the time, over the entire area of interest. The thrust of this thesis is to identify and improve upon the motion detection and object association aspect of this challenge by adding spectral information to the equation. Traditional motion detection and tracking systems rely primarily on single-band grayscale video, while more current research has focused on sensor fusion, specifically combining visible and IR data sources. A further challenge in covering an entire area of responsibility (AOR) is a limited sensor field of view, which can be overcome by either adding more sensors or multi-tasking a single sensor over multiple areas at a reduced frame rate. As an essential tool for sensor design and mission development, a trade study was conducted to measure the potential advantages of adding spectral bands of information in a single sensor with the intention of reducing sensor frame rates. Thus, traditional motion detection and object association algorithms were modified to evaluate system performance using five spectral bands (visible through thermal IR), while adjusting frame rate as a second variable. The goal of this research was to produce an evaluation of system performance as a function of the number of bands and frame rate. As such, performance surfaces were generated to assess relative performance as a function of the number of bands and frame rate.
590 $a School code: 0465.
650 4 $a Remote Sensing. $3 1018559
690 $a 0799
710 2 $a Rochester Institute of Technology. $b Imaging Science. $3 1019498
773 0 $t Dissertation Abstracts International $g 69-03B.
790 $a 0465
790 1 0 $a Messinger, David $e committee member
790 1 0 $a Rhody, Harvey $e committee member
790 1 0 $a Ross, David $e committee member
790 1 0 $a Schott, John R., $e advisor
791 $a Ph.D.
792 $a 2008
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3304171