@inproceedings{8ff12fd0dc4346a29bbc05bd94d52ab4,
title = "Individual tree segmentation in deciduous forests using geodesic voting",
abstract = "Airborne Laser Scanning (ALS) has been widely used to survey forest areas. The extraction (segmentation) of individual trees from ALS point clouds is a prerequisite step for tree biophysical parameter estimation. For this purpose, we develop and evaluate a graph based segmentation algorithm adapted to deciduous forests scanned with high density Li-DAR (∼50 points / m2) in leaf-off conditions. The algorithm is applied to a 1 ha deciduous forest plot in western Switzerland and the accuracy of individual trunk locations is evaluated in terms of recall, precision and F-score. The results indicate that the algorithm performs satisfactorily within the experimental setup conditions.",
keywords = "Airborne Laser Scanning, deciduous forests, geodesic voting, point clouds, Segmentation",
author = "Matthew Parkan and Devis Tuia",
year = "2015",
month = nov,
day = "10",
doi = "10.1109/IGARSS.2015.7325844",
language = "English",
isbn = "9781479979295",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "637--640",
booktitle = "2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings",
note = "IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 ; Conference date: 26-07-2015 Through 31-07-2015",
}