Title:
Using remote-sensing and gis technology for automated building extraction

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dc.contributor.advisor French, Steven P.
dc.contributor.author Sahar, Liora en_US
dc.contributor.committeeMember Eastman, Charles M.
dc.contributor.committeeMember Faust, Nickolas
dc.contributor.committeeMember Navathe, Shamkant B.
dc.contributor.committeeMember Drummond, William
dc.contributor.department Architecture en_US
dc.date.accessioned 2011-03-04T20:59:18Z
dc.date.available 2011-03-04T20:59:18Z
dc.date.issued 2009-10-21 en_US
dc.description.abstract Extraction of buildings from remote sensing sources is an important GIS application and has been the subject of extensive research over the last three decades. An accurate building inventory is required for applications such as GIS database maintenance and revision; impervious surfaces mapping; storm water management; hazard mitigation and risk assessment. Despite all the progress within the fields of photogrammetry and image processing, the problem of automated feature extraction is still unresolved. A methodology for automatic building extraction that integrates remote sensing sources and GIS data was proposed. The methodology consists of a series of image processing and spatial analysis techniques. It incorporates initial simplification procedure and multiple feature analysis components. The extraction process was implemented and tested on three distinct types of buildings including commercial, residential and high-rise. Aerial imagery and GIS data from Shelby County, Tennessee were identified for the testing and validation of the results. The contribution of each component to the overall methodology was quantitatively evaluated as relates to each type of building. The automatic process was compared to manual building extraction and provided means to alleviate the manual procedure effort. A separate module was implemented to identify the 2D shape of a building. Indices for two specific shapes were developed based on the moment theory. The indices were tested and evaluated on multiple feature segments and proved to be successful. The research identifies the successful building extraction scenarios as well as the challenges, difficulties and drawbacks of the process. Recommendations are provided based on the testing and evaluation for future extraction projects. en_US
dc.description.degree Ph.D. en_US
dc.identifier.uri http://hdl.handle.net/1853/37231
dc.publisher Georgia Institute of Technology en_US
dc.subject Aerial images en_US
dc.subject Building extraction en_US
dc.subject GIS en_US
dc.subject.lcsh Geographic information systems
dc.subject.lcsh Remote sensing
dc.subject.lcsh Remote-sensing images
dc.subject.lcsh Photogrammetry
dc.title Using remote-sensing and gis technology for automated building extraction en_US
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor French, Steven P.
local.contributor.corporatename College of Design
local.contributor.corporatename School of Architecture
local.relation.ispartofseries Doctor of Philosophy with a Major in Architecture
relation.isAdvisorOfPublication 33686ebd-758b-473a-b8b4-f1c0b948a2a7
relation.isOrgUnitOfPublication c997b6a0-7e87-4a6f-b6fc-932d776ba8d0
relation.isOrgUnitOfPublication 0533a423-c95b-41cf-8e27-2faee06278ad
relation.isSeriesOfPublication 1e9dd6c5-039f-4195-b3b6-bc27d2df5b9f
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