Open AccessPredicting Vegetation Stratum Occupancy from Airborne LiDAR Data with Deep Learning
Author(s) -
Ekaterina Kalinicheva,
Loïc Landrieu,
Clément Mallet,
Nesrine Chehata
Publication year - 2022
Publication title -
international journal of applied earth observation and geoinformation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.623
H-Index - 98
eISSN - 1872-826X
pISSN - 1569-8432
DOI - 10.1016/j.jag.2022.102863
Subject(s) - occupancy , vegetation (pathology) , lidar , point cloud , computer science , stratum , artificial intelligence , deep learning , artificial neural network , regression , remote sensing , supervised learning , machine learning , statistics , geography , mathematics , geology , medicine , paleontology , pathology , ecology , biology
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