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Unmanned aircraft systems image coll...

Peterson, James Preston, II.

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Unmanned aircraft systems image collection and computer vision image processing for surveying and mapping that meets professional needs.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Unmanned aircraft systems image collection and computer vision image processing for surveying and mapping that meets professional needs./
Author:	Peterson, James Preston, II.
Description:	294 p.
Notes:	Source: Dissertation Abstracts International, Volume: 77-02(E), Section: B.
Contained By:	Dissertation Abstracts International77-02B(E).
Subject:	Civil engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3731407
ISBN:	9781339177991

Unmanned aircraft systems image collection and computer vision image processing for surveying and mapping that meets professional needs.
Peterson, James Preston, II.

Unmanned aircraft systems image collection and computer vision image processing for surveying and mapping that meets professional needs. - 294 p.

Source: Dissertation Abstracts International, Volume: 77-02(E), Section: B.

Thesis (Ph.D.)--Missouri University of Science and Technology, 2015.

Unmanned Aerial Systems (UAS) are rapidly blurring the lines between traditional and close range photogrammetry, and between surveying and photogrammetry. UAS are providing an economic platform for performing aerial surveying on small projects. The focus of this research was to describe traditional photogrammetric imagery and Light Detection and Ranging (LiDAR) geospatial products, describe close range photogrammetry (CRP), introduce UAS and computer vision (CV), and investigate whether industry mapping standards for accuracy can be met using UAS collection and CV processing. A 120-acre site was selected and 97 aerial targets were surveyed for evaluation purposes. Four UAS flights of varying heights above ground level (AGL) were executed, and three different target patterns of varying distances between targets were analyzed for compliance with American Society for Photogrammetry and Remote Sensing (ASPRS) and National Standard for Spatial Data Accuracy (NSSDA) mapping standards. This analysis resulted in twelve datasets. Error patterns were evaluated and reasons for these errors were determined. The relationship between the AGL, ground sample distance, target spacing and the root mean square error of the targets is exploited by this research to develop guidelines that use the ASPRS and NSSDA map standard as the template. These guidelines allow the user to select the desired mapping accuracy and determine what target spacing and AGL is required to produce the desired accuracy. These guidelines also address how UAS/CV phenomena affect map accuracy. General guidelines and recommendations are presented that give the user helpful information for planning a UAS flight using CV technology.

ISBN: 9781339177991Subjects--Topical Terms:

860360
Civil engineering.

Unmanned aircraft systems image collection and computer vision image processing for surveying and mapping that meets professional needs.
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100 1 $a Peterson, James Preston, II. $3 3193133
245 1 0 $a Unmanned aircraft systems image collection and computer vision image processing for surveying and mapping that meets professional needs.
300 $a 294 p.
500 $a Source: Dissertation Abstracts International, Volume: 77-02(E), Section: B.
500 $a Advisers: Joel Burken; Cesar Mendoza.
502 $a Thesis (Ph.D.)--Missouri University of Science and Technology, 2015.
520 $a Unmanned Aerial Systems (UAS) are rapidly blurring the lines between traditional and close range photogrammetry, and between surveying and photogrammetry. UAS are providing an economic platform for performing aerial surveying on small projects. The focus of this research was to describe traditional photogrammetric imagery and Light Detection and Ranging (LiDAR) geospatial products, describe close range photogrammetry (CRP), introduce UAS and computer vision (CV), and investigate whether industry mapping standards for accuracy can be met using UAS collection and CV processing. A 120-acre site was selected and 97 aerial targets were surveyed for evaluation purposes. Four UAS flights of varying heights above ground level (AGL) were executed, and three different target patterns of varying distances between targets were analyzed for compliance with American Society for Photogrammetry and Remote Sensing (ASPRS) and National Standard for Spatial Data Accuracy (NSSDA) mapping standards. This analysis resulted in twelve datasets. Error patterns were evaluated and reasons for these errors were determined. The relationship between the AGL, ground sample distance, target spacing and the root mean square error of the targets is exploited by this research to develop guidelines that use the ASPRS and NSSDA map standard as the template. These guidelines allow the user to select the desired mapping accuracy and determine what target spacing and AGL is required to produce the desired accuracy. These guidelines also address how UAS/CV phenomena affect map accuracy. General guidelines and recommendations are presented that give the user helpful information for planning a UAS flight using CV technology.
590 $a School code: 0587.
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650 4 $a Remote sensing. $3 535394
650 4 $a Geographic information science and geodesy. $3 2122917
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710 2 $a Missouri University of Science and Technology. $b Civil Engineering. $3 2104545
773 0 $t Dissertation Abstracts International $g 77-02B(E).
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