Vegetation segmentation using oblique photogrammetry point clouds based on RSPT network

Author:

Hu Hong1ORCID,Sun Zhangyu12ORCID,Kang Ruihong1ORCID,Wu Yanlan3ORCID,Wang Baoguo4ORCID

Affiliation:

1. School of Resources and Environmental Engineering, Anhui University, Hefei, People’s Republic of China

2. Anhui Province Engineering Laboratory for Mine Ecological Remediation, Hefei, People’s Republic of China

3. School of Artificial Intelligence, Anhui University, Hefei, People’s Republic of China

4. Bengbu Geotechnical Engineering and Surveying Institute, Bengbu, People’s Republic of China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,Computer Science Applications,Software

Reference51 articles.

1. Urban tree species mapping using hyperspectral and lidar data fusion

2. Armeni I. S. Sax A. R. Zamir and S. Savarese. 2017. Joint 2D-3D-Semantic Data for Indoor Scene Understanding. https://arxiv.org/abs/1702.01105.

3. Behley J. M. Garbade A. Milioto J. Quenzel S. Behnke C. Stachniss and J. Gall. 2019. “SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences.” Paper present at the Proceedings of the International Conference on Computer Vision Seoul Korea October 2019.

4. Bridson R. 2019. “Fast Poisson Disk Sampling in Arbitrary Dimensions.” Paper present at the Conference of Association for Computing Machinery. New Orleans USA May 2019.

5. Dual Path Networks;Chen Y.;Advances in Neural Information Processing Systems,2017

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