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Auteur Lixian Dai |
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Accuracy test of point-based and object-based urban building feature classification and extraction applying airborne LiDAR data / T. Tang in Geocarto international, vol 29 n° 7 - 8 (November - December 2014)
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Titre : Accuracy test of point-based and object-based urban building feature classification and extraction applying airborne LiDAR data Type de document : Article/Communication Auteurs : T. Tang, Auteur ; Lixian Dai, Auteur Année de publication : 2014 Article en page(s) : pp 710-730 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] classification
[Termes IGN] détection du bâti
[Termes IGN] données lidar
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] restitution lasergrammétrique
[Termes IGN] segmentation d'image
[Termes IGN] SIG 3D
[Termes IGN] télémétrie laser aéroportéRésumé : (Auteur) Point-based and object-based building extractions were conducted in airborne LiDAR data in a sample area of Buffalo, New York. First, the earth surface points were filtered from the entire laser scan data set using a new filtering algorithm, which combines the TIN slope modelling and statistical analysis. The off-ground points were extracted for buildings in the study area using both point cluster analysis and object-oriented classifications. The accuracies of both approaches were tested using the digitised ground truth. The outcomes of accuracy testing of the point-based method are correctness: 88.74%, completeness: 92.67% and quality: 83.50%. The results of the accuracy of object-based building extraction are correctness: 87.21%, completeness: 60.14%, and quality: 55.26%. Reconstructions of 3D building models based on the extracted building points were performed. This study contributes scientific and technological knowledge for researchers in developing more effective methods in converting the LiDAR survey to a 3D GIS database. Numéro de notice : A2014-465 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2013.837103 En ligne : http://www.tandfonline.com/doi/full/10.1080/10106049.2013.837103#tabModule Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74042
in Geocarto international > vol 29 n° 7 - 8 (November - December 2014) . - pp 710-730[article]Réservation
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