Assessing Validation Methods for Building Identification and Extraction

Wentz, E. A. and Zhao, Q. (2015) Assessing Validation Methods for Building Identification and Extraction. In: 2015 Joint Urban Remote Sensing Event (JURSE), Lausanne, Switzerland, 30 Mar - 01 Apr 2015, ISBN 9781479966523 (doi:10.1109/JURSE.2015.7120453)

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Abstract

As data sources and algorithm choices become increasingly more available for automatically extracting and reconstructing 3D buildings, methods are needed to assess the accuracy of the classification process. Our research goal is to compare validation data sources and methods to assess objectivity, sensitivity, and reliability of current validation approaches. Our results show that when relying on object-oriented methods for building classification and extraction, methods other than pixel assessment are needed.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Zhao, Dr Qunshan
Authors: Wentz, E. A., and Zhao, Q.
College/School:College of Social Sciences > School of Social and Political Sciences > Urban Studies
ISSN:2334-0932
ISBN:9781479966523
Published Online:11 June 2015

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