Semantic segmentation of raw multispectral laser scanning data from urban environments with deep neural networks

Semantic segmentation of raw multispectral laser scanning data from urban environments with deep neural networks

Real-time semantic segmentation of point clouds has increasing importance in applications related to 3D city modelling and mapping, automated inventory of forests, autonomous driving and mobile robotics. Current state-of-the-art point cloud semantic segmentation methods rely heavily on the availabil...

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Bibliographic Details
Main Authors: Mikael Reichler, Josef Taher, Petri Manninen, Harri Kaartinen, Juha Hyyppä, Antero Kukko
Format: Article
Language:English
Published: Elsevier 2024-04-01
Series:ISPRS Open Journal of Photogrammetry and Remote Sensing
Subjects:
Multispectral point cloud
Mobile laser scanning
Semantic segmentation
Deep learning
Convolutional neural network
Real-time
Online Access:http://www.sciencedirect.com/science/article/pii/S2667393224000048

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http://www.sciencedirect.com/science/article/pii/S2667393224000048

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