Building detection from lidar data using entropy and the k-means concept

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dc.contributor.authorDos Santos, R. C. [UNESP]
dc.contributor.authorPessoa, G. G. [UNESP]
dc.contributor.authorCarrilho, A. C. [UNESP]
dc.contributor.authorGalo, M. [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2019-10-06T16:36:01Z
dc.date.available2019-10-06T16:36:01Z
dc.date.issued2019-06-04
dc.description.abstractInformation obtained from LiDAR data processing is considered in a variety of applications, among them urban planning. In this context, buildings play a substantial role, since a high percentage of the urban landscape is occupied by them. In the literature, many methodologies have been developed aiming at the detection of building using remote sensing data. The approaches can be developed by applying different ideas: regularity of cluster boundary, plane fitting, radiometric data and also in geometric attribute derived from LiDAR. This paper proposes a method of building detection based on the use of the entropy concept and the K-means algorithm in which the training step is dispensed with. The experiments were performed considering two LiDAR datasets with different densities (12.5 pts/m2 and 4 pts/m2). Visual and qualitative analysis enabled verification of the potential of the proposed method, which presented satisfactory results for both datasets.en
dc.description.affiliationSão Paulo State University-UNESP Graduate Program in Cartographic Sciences
dc.description.affiliationSão Paulo State University-UNESP Dept. of Cartography
dc.description.affiliationUnespSão Paulo State University-UNESP Graduate Program in Cartographic Sciences
dc.description.affiliationUnespSão Paulo State University-UNESP Dept. of Cartography
dc.format.extent969-974
dc.identifierhttp://dx.doi.org/10.5194/isprs-archives-XLII-2-W13-969-2019
dc.identifier.citationInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, v. 42, n. 2/W13, p. 969-974, 2019.
dc.identifier.doi10.5194/isprs-archives-XLII-2-W13-969-2019
dc.identifier.issn1682-1750
dc.identifier.scopus2-s2.0-85067522728
dc.identifier.urihttp://hdl.handle.net/11449/189290
dc.language.isoeng
dc.relation.ispartofInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectBuilding Detection
dc.subjectEntropy
dc.subjectK-means Algorithm
dc.subjectLiDAR Data
dc.subjectRegion Growing
dc.subjectUnsupervised
dc.titleBuilding detection from lidar data using entropy and the k-means concepten
dc.typeTrabalho apresentado em evento

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Artigos - Cartografia - FCT