"Terrain-Net: A Highly-Efficient, Parameter-Free, and Easy-to-Use Deep ..."

Bowen Li et al. (2022)

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DOI: 10.3390/RS14225798

access: open

type: Journal Article

metadata version: 2023-09-30

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  - https://dblp.org/rec/journals/remotesensing/LiLWQYPDL22
Bowen Li, Hao Lu, Han Wang, Jianbo Qi, Gang Yang, Yong Pang, Haolin Dong, Yining Lian:
Terrain-Net: A Highly-Efficient, Parameter-Free, and Easy-to-Use Deep Neural Network for Ground Filtering of UAV LiDAR Data in Forested Environments. Remote. Sens. 14(22): 5798 (2022)

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