ALCSF: An adaptive and anti-noise filtering method for extracting ground and top of canopy from ICESat-2 LiDAR data along single tracks

Author:

Chang BingtaoORCID,Xiong HaoORCID,Li YuanORCID,Pan DongORCID,Cui XiaodongORCID,Zhang Wuming

Publisher

Elsevier BV

Reference54 articles.

1. DEM generation from laser scanner data using adaptive TIN models;Axelsson;International Archives of Photogrammetry and Remote Sensing,2000

2. A multiresolution hierarchical classification algorithm for filtering airborne LiDAR data;Chen;ISPRS J. Photogramm. Remote Sens.,2013

3. Filtering airborne LiDAR point clouds based on a scale-irrelevant and terrain-adaptive approach;Chen;Measurement,2021

4. Performance comparison of filtering algorithms for high-density airborne LiDAR point clouds over complex landscapes;Chen;Remote Sens. (Basel),2021

5. Validation of ICESat-2 ATL08 terrain and canopy height retrievals in tropical mesoamerican forests;Fernandez-Diaz;IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens.,2022

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