TY - GEN
T1 - Forest parameters inversion using PolInSAR data based on genetic algorithm
AU - Zou, Bin
AU - Zhang, Lamei
AU - Wang, Wei
AU - Sun, Deming
PY - 2006
Y1 - 2006
N2 - With the development of polarimetric SAR interferometry (PolInSAR), it is of interest to develop quantitative inversion methods for the estimation of forest parameters. Based on the basic principle of PolInSAR and the coherent scattering model of random volume over ground, the inversion of forest parameters of PolInSAR can be characterized by a six-dimensional non-linear parameter optimization problem. However, the global optimal can't be obtained using the traditional gradient-based optimization algorithms. Therefore, a global optimization inversion scheme of forest parameters of PolInSAR based on genetic algorithm is presented. We generate a validity test for the method using SIR-C/X-SAR L-Band repeat-pass PolInSAR data of the area of Tien Shan, China, acquired on October 7 and 9, 1994. The preliminary result indicates that the proposed inversion algorithm can obtain forest parameters with relatively high accuracy.
AB - With the development of polarimetric SAR interferometry (PolInSAR), it is of interest to develop quantitative inversion methods for the estimation of forest parameters. Based on the basic principle of PolInSAR and the coherent scattering model of random volume over ground, the inversion of forest parameters of PolInSAR can be characterized by a six-dimensional non-linear parameter optimization problem. However, the global optimal can't be obtained using the traditional gradient-based optimization algorithms. Therefore, a global optimization inversion scheme of forest parameters of PolInSAR based on genetic algorithm is presented. We generate a validity test for the method using SIR-C/X-SAR L-Band repeat-pass PolInSAR data of the area of Tien Shan, China, acquired on October 7 and 9, 1994. The preliminary result indicates that the proposed inversion algorithm can obtain forest parameters with relatively high accuracy.
KW - Genetic algorithm
KW - Parameters inversion
KW - PolInSAR
UR - https://www.scopus.com/pages/publications/34548301657
U2 - 10.1109/IGARSS.2006.684
DO - 10.1109/IGARSS.2006.684
M3 - 会议稿件
AN - SCOPUS:34548301657
SN - 0780395107
SN - 9780780395107
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 2651
EP - 2654
BT - 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2006
Y2 - 31 July 2006 through 4 August 2006
ER -