Filling the Gap Between Using AI and Updating an Underground Network VECTOR Database: Skeleton Extraction from Classified Point Clouds-Reference-Cited by-同舟云学术

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Filling the Gap Between Using AI and Updating an Underground Network VECTOR Database: Skeleton Extraction from Classified Point Clouds

Published:2024-07-07 Issue: Volume: Page:9544-9547
ISSN:
Container-title:IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Carreaud Antoine¹,Mariani Fabio²,Gressin Adrien³

Affiliation:

1. Ecole Polytechnique Fédérale de Lausanne (EPFL) ENAC School of Architecture Civil and Environmental Engineering, Station 18,Lausanne,Switzerland,1010

2. Geneva Industrial Services,Switzerland

3. University of Applied Sciences Western Switzerland (HES-SO / HEIG-VD),Insit Institute,Yverdon-les-Bains,Switzerland,1400

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10640349/10640352/10641013.pdf?arnumber=10641013

Reference15 articles.

1. A review on image classification of remote sensing using deep learning

2. Processing of Extremely High-Resolution LiDAR and RGB Data: Outcome of the 2015 IEEE GRSS Data Fusion Contest–Part A: 2-D Contest

3. Processing of Extremely High Resolution LiDAR and RGB Data: Outcome of the 2015 IEEE GRSS Data Fusion Contest—Part B: 3-D Contest

4. Semantic point cloud interpretation based on optimal neighborhoods, relevant features and efficient classifiers

5. TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers

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