@inproceedings{pourshamsi:hal-02121290,
TITLE = {Machine-learning fusion of PolSAR and LiDAR data for tropical forest canopy height estimation},
AUTHOR = {Pourshamsi, M. and Garcia, M. and Lavalle, M. and Pottier, E. and Balzter, H.},
URL = {https://univ-rennes.hal.science/hal-02121290},
BOOK
TITLE = {38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018},
ADDRESS = {Valencia, Spain},
PUBLISHER = {Institute of Electrical and Electronics Engineers Inc.},
VOLUME = {2018-July},
PAGES = {8108-8111},
YEAR = {2018},
MONTH = Jul, DOI = {10.1109/IGARSS.2018.8518030},
KEYWORDS = {Forest height ; Fusion ; LiDAR ; Polarimetric synthetic aperture radar (PolSAR) ; Support Vector Machine (SVM)},
HAL_ID = {hal-02121290},
HAL_VERSION = {v1},
}