Journal of Systems Engineering and Electronics ›› 2010, Vol. 32 ›› Issue (7): 1529-1531.doi: 10.3969/j.issn.1001506X.2010.07.041

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Modeling and comparison of BRDF with GA and GSAA

ZHANG Hanlu, WU Zhensen, ZHANG Changmin, CAO Yunhua   

  1. (School of Science, Xidian Univ., Xi’an 710071， China)
  • Online:2010-07-20 Published:2010-01-03

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Abstract:

Combining the basic genetic algorithm (GA) with the simulated annealing algorithm, a genetic simulated annealing algorithm (GSAA) is obtained with the character of global searching and optimum. Both GA and GSAA are used to fit bistatic mulitiangle data of experiment to the bidirectional reflectance distribution function (BRDF) statistical model. The parameters of the model and the 2D and 3D BRDF are obtained. The differences and causations between GA and GSAA in the iterative numbers, time, precision, data fitting and parameters are compared and analyzed. GA and GSAA held for BRDF statistic modeling.

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