@inproceedings{lebastard:hal-02993052,
TITLE = {Roadway Interface Analysis with A Support Vector Regression Based Linear Prediction Method Using Stepped-Frequency Radar},
AUTHOR = {Le Bastard, C{\'e}dric and Pan, J. and Wang, Yide and Todkar, S. and Ihamouten, Amine and Derobert, Xavier and Guilbert, David and Sun, M.},
URL = {https://hal.science/hal-02993052},
NOTE = {IGARSS 2019, IEEE International Geoscience and Remote Sensing Symposium, Yokohama, JAPON, 28-/07/2019 - 02/08/2019},
BOOK
TITLE = {IGARSS 2019, IEEE International Geoscience and Remote Sensing Symposium},
ADDRESS = {Yokohama, Japan},
HAL_LOCAL_REFERENCE = {hal-02993052},
PUBLISHER = {Institute of Electrical and Electronics Engineers - IEEE},
PAGES = {pp. 3598-3601},
YEAR = {2019},
MONTH = Jul, DOI = {10.1109/IGARSS.2019.8899302},
KEYWORDS = {STEPPED-FREQUENCY RADAR (SFR) ; DETECTION ; ROADWAY ; LINEAR PREDICTION (LP) ; SUPPORT VECTOR REGRESSION (SVR) ; DECOLLEMENT ; CHAUSSEE (CORPS DE) ; ALTERATION (GEN) ; RADAR ; CONFERENCE ; JAPON ; DETECTION ; ROUTE ; MODELE PREDICTIF ; RADAR PENETRANT ; STRUCTURE DE CHAUSSEE},
HAL_ID = {hal-02993052},
HAL_VERSION = {v1},
}