Segmentation of Façades from Urban 3D Point Clouds Using Geometrical and Morphological Attribute-Based Operators

Autor: Andrés Serna, Beatriz Marcotegui, Jorge Hernández

Publikováno v: ISPRS International Journal of Geo-Information, Vol 5, Iss 1, p 6 (2016)

3D building segmentation is an important research issue in the remote sensing community with relevant applications to urban modeling, cloud-to-cloud and cloud-to-model registration, 3D cartography, virtual reality, cultural heritage documentation, am

Externí odkaz: https://doaj.org/article/f57ddb8b5660477f88df43067e557fe7

Segmentation of Façades from Urban 3D Point Clouds using Geometrical and Morphological Attribute-based Operators

Autor: Jorge Hernandez, Beatriz Marcotegui, Andrés Serna

Publikováno v: ISPRS International Journal of Geo-Information
ISPRS International Journal of Geo-Information, MDPI, 2016, ISPRS International Journal of Geo-Information, 5 (1), ⟨10.3390/ijgi5010006⟩
ISPRS International Journal of Geo-Information; Volume 5; Issue 1; Pages: 6
ISPRS International Journal of Geo-Information, Vol 5, Iss 1, p 6 (2016)

International audience; 3D building segmentation is an important research issue in the remote sensing community with relevant applications to urban modeling, cloud-to-cloud and cloud-to-model registration, 3D cartography, virtual reality, cultural he

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c615cd182f4a758f04258aa99adb0754
https://hal-mines-paristech.archives-ouvertes.fr/hal-01254284/document

Semantic analysis of 3D point clouds from urban environments: ground, facades, urban objects and accessibility

Autor: Serna, Andrés

Publikováno v: Signal and Image Processing. MINES ParsTech, 2014. English

Most important cities in the world have very detailed 2D urban plans of streets and public spaces. These plans contain information about roads, sidewalks, facades and urban objects such as lampposts, traffic signs, bollards, trees, among others. Nowa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______212::8f9e0d2ab9f074e66614e5ad2a6caf06
https://tel.archives-ouvertes.fr/tel-01134032/document

Detection, segmentation and classification of 3D urban objects using mathematical morphology and supervised learning

Autor: Beatriz Marcotegui, Andrés Serna

Publikováno v: ISPRS Journal of Photogrammetry and Remote Sensing
ISPRS Journal of Photogrammetry and Remote Sensing, Elsevier, 2014, 93, pp.243-255. ⟨10.1016/j.isprsjprs.2014.03.015⟩

International audience; We propose an automatic and robust approach to detect, segment and classify urban objects from 3D point clouds. Processing is carried out using elevation images and the result is reprojected onto the 3D point cloud. First, the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2b3ca031e45da8ea24662bb0881ee9b
https://hal.archives-ouvertes.fr/hal-01010012/file/ISPRS2014_Objects.pdf

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