Assessing validation methods for building identification and extraction

Elizabeth Wentz, Qunshan Zhao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

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.

Original languageEnglish (US)
Title of host publication2015 Joint Urban Remote Sensing Event, JURSE 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781479966523
DOIs
StatePublished - Jun 9 2015
Event2015 Joint Urban Remote Sensing Event, JURSE 2015 - Lausanne, Switzerland
Duration: Mar 30 2015Apr 1 2015

Other

Other2015 Joint Urban Remote Sensing Event, JURSE 2015
CountrySwitzerland
CityLausanne
Period3/30/154/1/15

ASJC Scopus subject areas

  • Computer Networks and Communications

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    Wentz, E., & Zhao, Q. (2015). Assessing validation methods for building identification and extraction. In 2015 Joint Urban Remote Sensing Event, JURSE 2015 [7120453] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/JURSE.2015.7120453