TY - GEN
T1 - A backscattering data simulation model for forest canopy based on canopy height information
AU - Gao, Qiang
AU - Ke, Meng
AU - DIng, Zegang
AU - Zeng, Tao
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/6/8
Y1 - 2018/6/8
N2 - The traditional backscattering data simulation models of forest canopy use uniform distribution or random distribution to simulate the vegetation distribution that are different from the real scene. To simulate the backscattering data of forest canopy realistically, a simulation method based on canopy height information is proposed. Firstly, the crown information is extract from the canopy height data. To solve the problem of multiple crown centers are extracted from the same crown, a layered local maxima algorithm is proposed. Then, the Monte Carlo coherent scattering model is used to simulate the forest backscatter data. Finally, the similarity of the simulation data is verified by the measured airborne data in Genhe City, Inner Mongolia Autonomous Region, China.
AB - The traditional backscattering data simulation models of forest canopy use uniform distribution or random distribution to simulate the vegetation distribution that are different from the real scene. To simulate the backscattering data of forest canopy realistically, a simulation method based on canopy height information is proposed. Firstly, the crown information is extract from the canopy height data. To solve the problem of multiple crown centers are extracted from the same crown, a layered local maxima algorithm is proposed. Then, the Monte Carlo coherent scattering model is used to simulate the forest backscatter data. Finally, the similarity of the simulation data is verified by the measured airborne data in Genhe City, Inner Mongolia Autonomous Region, China.
KW - Forest backscattering
KW - Layered local maxima
KW - Synthetic aperture radar
KW - tree crown extraction
UR - http://www.scopus.com/inward/record.url?scp=85049940676&partnerID=8YFLogxK
U2 - 10.1109/RADAR.2018.8378626
DO - 10.1109/RADAR.2018.8378626
M3 - Conference contribution
AN - SCOPUS:85049940676
T3 - 2018 IEEE Radar Conference, RadarConf 2018
SP - 593
EP - 597
BT - 2018 IEEE Radar Conference, RadarConf 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE Radar Conference, RadarConf 2018
Y2 - 23 April 2018 through 27 April 2018
ER -