Automated urban features classification and recognition from combined rgb/lidar data

Thumbnail Image

Files

ucalgary_2011_eid_hassan elsaid elhifnawy_588875.pdf (63.29 MB)

Date

2011

Authors

Journal Title

Journal ISSN

Volume Title

Publisher

Abstract

Description

Bibliography: p. 149-155
Many pages are in colour.

Keywords

Citation

Eid, H. E. (2011). Automated urban features classification and recognition from combined rgb/lidar data (Doctoral thesis, University of Calgary, Calgary, Canada). Retrieved from https://ucalgary.scholaris.ca. doi:10.11575/PRISM/4467

URI

http://hdl.handle.net/1880/105468

Collections

Legacy Theses

Endorsement

Review

Supplemented By

Referenced By

Powered by

Libraries & Cultural Resources

Start Something.

University of Calgary
2500 University Drive NW
Calgary Alberta T2N 1N4
CANADA

Copyright © 2023

The University of Calgary, located in the heart of Southern Alberta, both acknowledges and pays tribute to the traditional territories of the peoples of Treaty 7, which include the Blackfoot Confederacy (comprised of the Siksika, the Piikani, and the Kainai First Nations), the Tsuut’ina First Nation, and the Stoney Nakoda (including Chiniki, Bearspaw, and Goodstoney First Nations). The City of Calgary is also home to the Métis Nation of Alberta (Districts 5 and 6).

The University of Calgary is situated on land Northwest of where the Bow River meets the Elbow River, a site traditionally known as Moh’kins’tsis to the Blackfoot, Wîchîspa to the Stoney Nakoda, and Guts’ists’i to the Tsuut’ina. On this land and in this place we strive to learn together, walk together, and grow together “in a good way.”