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pro vyhledávání: '"Laupheimer, Dominik"'
Autor:
Laupheimer, Dominik, Haala, Norbert
The automatic semantic segmentation of the huge amount of acquired remote sensing data has become an important task in the last decade. Images and Point Clouds (PCs) are fundamental data representations, particularly in urban mapping applications. Te
Externí odkaz:
http://arxiv.org/abs/2103.07348
Autor:
Kölle, Michael, Laupheimer, Dominik, Schmohl, Stefan, Haala, Norbert, Rottensteiner, Franz, Wegner, Jan Dirk, Ledoux, Hugo
Automated semantic segmentation and object detection are of great importance in geospatial data analysis. However, supervised machine learning systems such as convolutional neural networks require large corpora of annotated training data. Especially
Externí odkaz:
http://arxiv.org/abs/2102.05346
Publikováno v:
In ISPRS Open Journal of Photogrammetry and Remote Sensing April 2022 4
Autor:
Laupheimer, Dominik
The semantic segmentation of the huge amount of acquired 3D data has become an important task in recent years. Images and Point Clouds (PCs) are fundamental data representations, particularly in urban mapping applications. Textured meshes integrate b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b6f66a0f48f4c2fa072328f88f0dacf
http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-126879
http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-126879
Publikováno v:
ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences; 2018, Vol. 4 Issue 2, p177-184, 8p