00000nam 2200000zi 4500 9.894178 CaOODSP 20221107173649 m o d f cr mn||||||||| 201201t20202020onca ob f000 0 eng d 9780660367712 CaOODSP eng rda CaOODSP CS18-001/2020-2E-PDF Habashna, Ala'a Al-, author. An open-source system for building-height estimation using street-view images, deep learning, and building footprints / by Ala'a Al-Habashna. [Ottawa] : Statistics Canada = Statistique Canada, 2020. ©2020 1 online resource (24 pages) : illustrations (chiefly colour). text txt rdacontent computer c rdamedia online resource cr rdacarrier Reports on special business projects Issued also in French under title: Un système à code source ouvert pour l'estimation de la hauteur des bâtiments au moyen d'images prises à partir de la rue, de l'apprentissage profond et d'empreintes d'immeubles. "Release date: December 8, 2020." Issued also in HTML format. Includes bibliographical references (page 24). "Deploying street‑view imagery for information extraction has been increasingly considered recently by both industry and academia. Various efforts have been paid to extract information, relevant to various applications, from street‑view images. This includes sidewalk detection in cities to help city planners and building instance classification. Building height is an important piece of information that can be extracted from street‑view imagery. Such key information has various important applications such as economic analysis as well as developing 3D maps of cities. In this project, an open‑source system is developed for automatic estimation of building height from street‑view images using Deep Learning (DL), advanced image processing techniques, and geospatial data. Both street‑view images and the needed geospatial data are becoming pervasive and available through multiple platforms. The goal of the developed system is to ultimately be used to enrich the Open Database of Buildings (ODB), that has been published by Statistics Canada, as a part of the Linkable Open Data Environment (LODE). In this paper, the developed system is explained. Furthermore, some of the obtained results for building‑height estimation are presented. Some challenging cases and the scalability of the system are discussed as well"--Summary, page 7. Buildings Measurement Data processing. Geospatial data Computer processing. Image processing Digital techniques. Statistics Canada, issuing body. Un système à code source ouvert pour l'estimation de la hauteur des bâtiments au moyen d'images prises à partir de la rue, de l'apprentissage profond et d'empreintes d'immeubles / (CaOODSP)9.894180 Reports on special business projects. (CaOODSP)9.826502 PDF 1.60 MB https://publications.gc.ca/collections/collection_2020/statcan/18-001-x/18-001-x2020002-eng.pdf HTML N/A https://www150.statcan.gc.ca/n1/pub/18-001-x/18-001-x2020002-eng.htm 18-001-X