3D semantic segmentation for high-resolution aerial survey derived point clouds using deep learning (demonstration)-Reference-Cited by-同舟云学术

3D semantic segmentation for high-resolution aerial survey derived point clouds using deep learning (demonstration)

Published:2018-11-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
language:
Short-container-title:

Author:

Xiu Haoyi¹,Vinayaraj Poliyapram²,Kim Kyoung-Sook¹,Nakamura Ryosuke¹,Yan Wanglin³

Affiliation:

1. National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan

2. AIST-Tokyo Tech Real World Big-Data Computation Open Innovation Laboratory (RWBC-OIL), Tokyo, Japan

3. Keio University, Tokyo, Japan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3274895.3274950

Reference6 articles.

1. Information fusion of aerial images and LIDAR data in urban areas: vector-stacking, re-classification and post-processing approaches

2. Pointnet: Deep learning on point sets for 3d classification and segmentation;Qi Charles R;Proc. Computer Vision and Pattern Recognition (CVPR), IEEE,2017

3. Charles Ruizhongtai Qi Li Yi Hao Su and Leonidas J Guibas. 2017. Pointnet++: Deep hierarchical feature learning on point sets in a metric space. In Advances in Neural Information Processing Systems. 5105--5114. Charles Ruizhongtai Qi Li Yi Hao Su and Leonidas J Guibas. 2017. Pointnet++: Deep hierarchical feature learning on point sets in a metric space. In Advances in Neural Information Processing Systems. 5105--5114.

4. Lyne P Tchapmi Christopher B Choy Iro Armeni Jun Young Gwak and Silvio Savarese. 2017. SEGCloud: Semantic Segmentation of 3D Point Clouds. arXiv preprint arXiv:1710.07563 (2017). Lyne P Tchapmi Christopher B Choy Iro Armeni Jun Young Gwak and Silvio Savarese. 2017. SEGCloud: Semantic Segmentation of 3D Point Clouds. arXiv preprint arXiv:1710.07563 (2017).

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multiple Resolutions Detail Enhancement Network for Real-Time Image Semantic Segmentation;IEEE Transactions on Artificial Intelligence;2024-07

2. Dynamic Spatial–Spectral Feature Optimization-Based Point Cloud Classification;Remote Sensing;2024-02-02

3. A Randla-Net-Based Approach to Segment Roadway Objects in Large-Scale Point Clouds;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16

4. Deep Learning-Based 3-D Model for the Cultural Heritage Sites in the State of Gujarat, India;Artificial Intelligence and Sustainable Computing;2023

5. An Automated Sound Barrier Inventory Method Using Mobile LiDAR;Journal of Transportation Engineering, Part A: Systems;2022-10