Bathymetric LiDAR Survey Data
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/p-leroy/lidar_platform
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资源简介：
该数据集来源于对布列塔尼北部海岸进行的 bathymetric LiDAR 调查，用于评估神经网络模型在预测深度、衰减系数和底质反射率等参数方面的性能。数据以 .las 格式存储，并用于在未见数据上测试模型，突显了不同参数下模型性能的差异。该任务集中在激光雷达数据分析中的参数估算。
This dataset is derived from a bathymetric LiDAR survey conducted off the northern coast of Brittany, and is utilized to evaluate the performance of neural network models when predicting parameters such as water depth, attenuation coefficient and substrate reflectance. Stored in .las format, the data is used to test the models on unseen data, highlighting the differences in model performance across various parameters. This task focuses on parameter estimation in LiDAR data analysis.
提供机构：
Open source library available at lidar_platform GitHub
