Hao Lu
Orcid: 0000-0002-3083-4909Affiliations:
- Beijing Forestry University, School of Information Science and Technology, Beijing, China
According to our database1,
Hao Lu
authored at least 13 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
IEEE Geosci. Remote. Sens. Lett., 2024
2023
A Domain-Adaptive Tree-Crown Detection and Counting Method Based on Cascade Region Proposal Networks.
Algorithms, July, 2023
2022
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., 2022
2021
Terrestrial Videogrammetry for Deriving Key Forest Inventory Data: A Case Study in Plantation.
Remote. Sens., 2021
2020
Individual Tree Crown Segmentation of a Larch Plantation Using Airborne Laser Scanning Data Based on Region Growing and Canopy Morphology Features.
Remote. Sens., 2020
2019
Potential of Forest Parameter Estimation Using Metrics from Photon Counting LiDAR Data in Howland Research Forest.
Remote. Sens., 2019
Ground and Top of Canopy Extraction From Photon-Counting LiDAR Data Using Local Outlier Factor With Ellipse Searching Area.
IEEE Geosci. Remote. Sens. Lett., 2019
2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2016
LiCHy: The CAF's LiDAR, CCD and Hyperspectral Integrated Airborne Observation System.
Remote. Sens., 2016
China typical forest aboveground biomass estimation by fusion of multi-platform data.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
An airborne multi-angle hyperspectral experiment in a boreal forest of Northeast China.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
2015
An Automatic Range Ambiguity Solution in High-Repetition-Rate Airborne Laser Scanner Using Priori Terrain Prediction.
IEEE Geosci. Remote. Sens. Lett., 2015
A waveform exploitation optimized multiscale curvature algorithm for recognizing ground echoes from airborne laser scanner in densely forested area.
Proceedings of the 23rd International Conference on Geoinformatics, 2015