Operational performance of a combined Density- and Clustering-based approach to extract bathymetry returns from LiDAR point clouds

Author:

Lowell Kim,Calder Brian

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference27 articles.

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4. Assessing the Accuracy of Remotely Sensed Data – Principles and Practices;Congalton,2019

5. The method of steepest descent for non-linear minimization problems;Curry;Q. Appl. Math.,1944

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1. Adaptive Adjustment for Laser Energy and PMT Gain Through Self-Feedback of Echo Data in Bathymetric LiDAR;IEEE Transactions on Geoscience and Remote Sensing;2024

2. Advances in geocomputation and geospatial artificial intelligence (GeoAI) for mapping;International Journal of Applied Earth Observation and Geoinformation;2023-06

3. Adaptive model for the water depth bias correction of bathymetric LiDAR point cloud data;International Journal of Applied Earth Observation and Geoinformation;2023-04

4. Treat Noise as Domain Shift: Noise Feature Disentanglement for Underwater Perception and Maritime Surveys in Side-Scan Sonar Images;IEEE Transactions on Geoscience and Remote Sensing;2023

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