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dc.contributor.authorAwrangjeb, Mohammad
dc.contributor.authorFraser, Clive S
dc.date.accessioned2018-01-08T01:45:31Z
dc.date.available2018-01-08T01:45:31Z
dc.date.issued2014
dc.identifier.issn1939-1404
dc.identifier.doi10.1109/JSTARS.2014.2318694
dc.identifier.urihttp://hdl.handle.net/10072/172474
dc.description.abstractSome performance evaluation systems for building extraction techniques are manual in the sense that only visual results are provided or human judgment is employed. Many evaluation systems that employ one or more thresholds to ascertain whether an extracted building or roof plane is correct are subjective and cannot be applied in general. There are only a small number of automatic and threshold-free evaluation systems, but these do not necessarily consider all special cases, e.g., when over- and under-segmentation occurs during the extraction of roof planes. This paper proposes an automatic and threshold-free evaluation system that offers robust object-based evaluation of building extraction techniques. It makes one-to-one correspondences between extracted and reference entities using the maximum overlaps. Its application to the evaluation of a building extraction technique shows that it estimates different performance indicators including segmentation errors. Consequently, it can be employed for bias-free evaluation of other techniques whose outputs consist of polygonal entities.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherIEEE
dc.relation.ispartofpagefrom4184
dc.relation.ispartofpageto4198
dc.relation.ispartofissue10
dc.relation.ispartofjournalIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
dc.relation.ispartofvolume7
dc.subject.fieldofresearchImage Processing
dc.subject.fieldofresearchComputer Vision
dc.subject.fieldofresearchPhotogrammetry and Remote Sensing
dc.subject.fieldofresearchPhysical Geography and Environmental Geoscience
dc.subject.fieldofresearchArtificial Intelligence and Image Processing
dc.subject.fieldofresearchGeomatic Engineering
dc.subject.fieldofresearchcode080106
dc.subject.fieldofresearchcode080104
dc.subject.fieldofresearchcode090905
dc.subject.fieldofresearchcode0406
dc.subject.fieldofresearchcode0801
dc.subject.fieldofresearchcode0909
dc.titleAn automatic and threshold-free performance evaluation system for building extraction techniques from airborne LIDAR data
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
dc.description.versionAccepted Manuscript (AM)
gro.rights.copyright© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
gro.hasfulltextFull Text
gro.griffith.authorAwrangjeb, Mohammad


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