CLASSIFICATION OF AERIAL PHOTOGRAMMETRIC 3D POINT CLOUDS

CLASSIFICATION OF AERIAL PHOTOGRAMMETRIC 3D POINT CLOUDS

We present a powerful method to extract per-point semantic class labels from aerial photogrammetry data. Labelling this kind of data is important for tasks such as environmental modelling, object classification and scene understanding. Unlike previous point cloud classification methods that rely e...

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Bibliographic Details
Main Authors:	C. Becker, N. Häni, E. Rosinskaya, E. d’Angelo, C. Strecha
Format:	Article
Language:	English
Published:	Copernicus Publications 2017-05-01
Series:	ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:	http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-1-W1/3/2017/isprs-annals-IV-1-W1-3-2017.pdf

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