ICIP 2006, Atlanta, GA
 

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Paper Detail

Paper:WA-L4.3
Session:Radar Imaging
Time:Wednesday, October 11, 10:20 - 10:40
Presentation: Lecture
Topic: Geosciences and Remote Sensing: Radar imaging
Title: INVERSION OF FOREST PARAMETERS BASED ON GENETIC ALGORITHM USING L-BAND POLINSAR DATA
Authors: Lamei Zhang; Harbin Institute of Technology 
 Bin Zou; Harbin Institute of Technology 
 Junping Zhang; Harbin Institute of Technology 
 Ye Zhang; Harbin Institute of Technology 
Abstract: 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 using SIR-C L-Band repeat-pass PolInSAR data of the area of Tien Shan, China. The preliminary results accord with the range of the parameters of the fact. Performances of different GAs and effects of different parameters are compared. SGA is influenced by the mutation rate strongly, but GA with tournament of two generations is independent of the mutation rate.