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Large Scale Archaeological Satellite...

Canham, Kelly.

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Large Scale Archaeological Satellite Classification and Data Mining Tools.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Large Scale Archaeological Satellite Classification and Data Mining Tools./
Author:	Canham, Kelly.
Description:	280 p.
Notes:	Source: Dissertation Abstracts International, Volume: 74-04(E), Section: B.
Contained By:	Dissertation Abstracts International74-04B(E).
Subject:	Remote Sensing. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3546617
ISBN:	9781267804624

Large Scale Archaeological Satellite Classification and Data Mining Tools.
Canham, Kelly.

Large Scale Archaeological Satellite Classification and Data Mining Tools. - 280 p.

Source: Dissertation Abstracts International, Volume: 74-04(E), Section: B.

Thesis (Ph.D.)--Rochester Institute of Technology, 2012.

Archaeological applications routinely use many different forms of remote sensing imagery, the exception being hyperspectral imagery (HSI). HSI tends to be utilized in a similar fashion as multispectral imagery (MSI) or processed to the point that it can be utilized similarly to MSI, thus reducing the benefits of HSI. However, for large scale archaeological surveys, HSI data can be used to differentiate materials more accurately than MSI because of HSI's larger number of spectral bands. HSI also has the ability to identify multiple materials found within a single pixel (sub-pixel material mixing), which is traditionally not possible with MSI. The Zapotec people of Oaxaca, Mexico, lived in an environment that isolates the individual settlements by rugged mountain ranges and dramatically different ecosystems. The rugged mountains of Oaxaca make large scale ground based archaeological surveys expensive in terms of both time and money. The diverse ecosystems of Oaxaca make multispectral satellite imagery inadequate for local material identification. For these reasons hyperspectral imagery was collected over Oaxaca, Mexico. Using HSI, investigations were conducted into how the Zapotec statehood was impacted by the environment, and conversely, how the environment impacted the statehood. Emphasis in this research is placed on identifying the number of pure materials present in the imagery, what these materials are, and identifying archaeological regions of interest using image processing techniques.

ISBN: 9781267804624Subjects--Topical Terms:

1018559
Remote Sensing.

Large Scale Archaeological Satellite Classification and Data Mining Tools.
LDR:02977nam a2200289 4500 001 1967745
005 20141124124229.5
008 150210s2012 ||||||||||||||||| ||eng d
020 $a 9781267804624
035 $a (MiAaPQ)AAI3546617
035 $a AAI3546617
040 $a MiAaPQ $c MiAaPQ
100 1 $a Canham, Kelly. $3 2104810
245 1 0 $a Large Scale Archaeological Satellite Classification and Data Mining Tools.
300 $a 280 p.
500 $a Source: Dissertation Abstracts International, Volume: 74-04(E), Section: B.
500 $a Adviser: David Messinger.
502 $a Thesis (Ph.D.)--Rochester Institute of Technology, 2012.
520 $a Archaeological applications routinely use many different forms of remote sensing imagery, the exception being hyperspectral imagery (HSI). HSI tends to be utilized in a similar fashion as multispectral imagery (MSI) or processed to the point that it can be utilized similarly to MSI, thus reducing the benefits of HSI. However, for large scale archaeological surveys, HSI data can be used to differentiate materials more accurately than MSI because of HSI's larger number of spectral bands. HSI also has the ability to identify multiple materials found within a single pixel (sub-pixel material mixing), which is traditionally not possible with MSI. The Zapotec people of Oaxaca, Mexico, lived in an environment that isolates the individual settlements by rugged mountain ranges and dramatically different ecosystems. The rugged mountains of Oaxaca make large scale ground based archaeological surveys expensive in terms of both time and money. The diverse ecosystems of Oaxaca make multispectral satellite imagery inadequate for local material identification. For these reasons hyperspectral imagery was collected over Oaxaca, Mexico. Using HSI, investigations were conducted into how the Zapotec statehood was impacted by the environment, and conversely, how the environment impacted the statehood. Emphasis in this research is placed on identifying the number of pure materials present in the imagery, what these materials are, and identifying archaeological regions of interest using image processing techniques.
520 $a The HSI processing techniques applied include a new spatially adaptive spectral unmixing approach (LoGlo) to identify pure materials across broad regions of Oaxaca, vegetation indices analysis, and spectral change detection algorithms. Verification of identified archaeological sites is completed using Geospatial Information System (GIS) tools, ground truth data, and high-resolution satellite MSI. GIS tools are also used to analyze spatial trends in lost archaeological sites due to urban sprawl occurring in the Central Oaxacan Valleys over the past 30 years.
590 $a School code: 0465.
650 4 $a Remote Sensing. $3 1018559
650 4 $a Anthropology, Archaeology. $3 622985
690 $a 0799
690 $a 0324
710 2 $a Rochester Institute of Technology. $b Imaging Science. $3 1019498
773 0 $t Dissertation Abstracts International $g 74-04B(E).
790 $a 0465
791 $a Ph.D.
792 $a 2012
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3546617