Model transfer-based filtering for airborne LiDAR data with emphasis on active learning optimization-Reference-Cited by-同舟云学术

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Model transfer-based filtering for airborne LiDAR data with emphasis on active learning optimization

Published:2017-11-08 Issue:2 Volume:9 Page:111-120
ISSN:2150-704X
Container-title:Remote Sensing Letters
language:en
Short-container-title:Remote Sensing Letters

Author:

Cai Zhan¹,Ma Hongchao¹²,Zhang Liang³

Affiliation:

1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China

2. Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, China

3. School of Natural Resources and Environment, Hubei University, Wuhan, China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Earth and Planetary Sciences (miscellaneous)

Link

https://www.tandfonline.com/doi/pdf/10.1080/2150704X.2017.1395964

Reference20 articles.

1. Margin Based Active Learning

2. Iterative TIN-based automatic filtering of sparse LiDAR data

3. 3D terrestrial lidar data classification of complex natural scenes using a multi-scale dimensionality criterion: Applications in geomorphology

Cited by 7 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. Multi-AUV Collaborative Target Recognition Based on Transfer-Reinforcement Learning;IEEE Access;2020

2. Automatic Weighted Splines Filter (AWSF): A New Algorithm for Extracting Terrain Measurements From Raw LiDAR Point Clouds;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2020

3. A Point-Based Fully Convolutional Neural Network for Airborne LiDAR Ground Point Filtering in Forested Environments;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2020

4. Airborne LiDAR Point Cloud Classification Based on Multiple-Entity Eigenvector Fusion;Chinese Journal of Lasers;2020

5. Feature selection for airborne LiDAR data filtering: a mutual information method with Parzon window optimization;GIScience & Remote Sensing;2019-12-09

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