東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Unmanned aircraft systems image coll...

Peterson, James Preston, II.

FindBook

Google Book

Amazon

博客來

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

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Unmanned aircraft systems image collection and computer vision image processing for surveying and mapping that meets professional needs./
作者:	Peterson, James Preston, II.
面頁冊數:	294 p.
附註:	Source: Dissertation Abstracts International, Volume: 77-02(E), Section: B.
Contained By:	Dissertation Abstracts International77-02B(E).
標題:	Civil engineering. -
電子資源:	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.
LDR:02699nmm a2200289 4500 001 2077614
005 20161114130333.5
008 170521s2015 ||||||||||||||||| ||eng d
020 $a 9781339177991
035 $a (MiAaPQ)AAI3731407
035 $a AAI3731407
040 $a MiAaPQ $c MiAaPQ
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.
650 4 $a Civil engineering. $3 860360
650 4 $a Remote sensing. $3 535394
650 4 $a Geographic information science and geodesy. $3 2122917
690 $a 0543
690 $a 0799
690 $a 0370
710 2 $a Missouri University of Science and Technology. $b Civil Engineering. $3 2104545
773 0 $t Dissertation Abstracts International $g 77-02B(E).
790 $a 0587
791 $a Ph.D.
792 $a 2015
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3731407