Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/27732
Title: Using shadows in high-resolution imagery to determine building height
Authors: Comber, Alexis J.
Umezaki, Masahiro
Zhou, Rena
Ding, Yongming
Li, Yang
Fu, Hua
Jiang, Hongwei
Tewkesbury, Andrew
First Published: 8-Dec-2011
Publisher: Taylor & Francis
Citation: Remote Sensing Letters, 2012, 3 (7), pp. 551-556
Abstract: This article presents a method for determining building height using shadows in remotely sensed data. The approach classifies building shadows based on their relative within-scene characteristics and spatial context, rules for which are determined empirically against geolocated photographs of the study area. The formal heuristic is described. This method complements existing approaches for extracting building heights that require precise specification of the geometric characteristics of the remotely sensed data and/or large amounts of ancillary data. The approach is suitable for analyses which may only require approximate measures of building height such as those found in many other domains.
DOI Link: 10.1080/01431161.2011.635161
ISSN: 2150-704X
eISSN: 2150-7058
Links: http://www.tandfonline.com/doi/abs/10.1080/01431161.2011.635161
http://hdl.handle.net/2381/27732
Version: Post-print
Status: Peer-reviewed
Type: Journal Article
Rights: Copyright © 2011 Taylor & Francis. Deposited with reference to the publisher's archiving policy available on the SHERPA/RoMEO website. This is an Author's Accepted Manuscript of an article published in Remote Sensing Letters, 2012, 3 (7), pp. 551-556, copyright Taylor & Francis, available online at: http://www.tandfonline.com/10.1080/01431161.2011.635161
Appears in Collections:Published Articles, Dept. of Geography

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