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A bidirectional reflectance distribution function model of space targets in visible spectrum based on GA-BP network

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Abstract

An optimized Back-Propagation network (BP network) based on Genetic Algorithm (GA) was introduced to construct bidirectional reflectance distribution function (BRDF) model. To verify the performance of GA-BP network, two different kinds of space target materials were used for experiment. Based on the experimental data, we used GA to simulate the undetermined parameters of a five-parameter BRDF model, and used GA-BP network and BP network to construct a new BRDF model respectively. The fitting results manifest that the GA-BP network is suitable for construct a new BRDF model and outperforms the five-parameter BRDF model in speed and accuracy under the same condition.

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Funding

This study was funded by the 135 Program (No: KJSP-2016-0401-03).

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Authors and Affiliations

  1. Institute of Laser Engineering, Beijing University of Technology, Beijing, 100020, China

    Yuying Liu, Jingjing Dai & Zhiyong Wang

  2. Beijing Institute of Space Mechanics and Electricity, Beijing, 100094, China

    Sisi Zhao, Jinghao Zhang, Tong Li, Weidong Shang & Yongchao Zheng

Authors
  1. Yuying Liu
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  2. Jingjing Dai
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  3. Sisi Zhao
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  4. Jinghao Zhang
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  5. Tong Li
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  6. Weidong Shang
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  7. Yongchao Zheng
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  8. Zhiyong Wang
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Correspondence to Zhiyong Wang.

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Liu, Y., Dai, J., Zhao, S. et al. A bidirectional reflectance distribution function model of space targets in visible spectrum based on GA-BP network. Appl. Phys. B 126, 114 (2020). https://doi.org/10.1007/s00340-020-07455-y

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  • DOI: https://doi.org/10.1007/s00340-020-07455-y

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