• Acta Optica Sinica
  • Vol. 37, Issue 11, 1129001 (2017)
Chenghao Liu1、*, Zhi Li2, Can Xu3, and Qichen Tian1
Author Affiliations
  • 1 Department of Graduate Management, Equipment Academy, Beijing 101416, China
  • 2 Department of Space Command, Equipment Academy, Beijing 101416, China
  • 3 Department of Space Equipment, Equipment Academy, Beijing 101416, China
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    DOI: 10.3788/AOS201737.1129001 Cite this Article Set citation alerts
    Chenghao Liu, Zhi Li, Can Xu, Qichen Tian. BRDF Model for Commonly Used Materials of Space Targets Based on Deep Neural Network[J]. Acta Optica Sinica, 2017, 37(11): 1129001 Copy Citation Text show less
    References

    [1] Yuan Yan, Sun Chengming, Zhang Xiubao. Measuring and modeling the spectral bidirectional reflection distribution function of space target’s surface material[J]. Acta Physica Sinica, 59, 2097-2103(2010).

    [2] Xu Can, Zhang Yasheng, Li Peng et al. Calculation of optical cross section areas of spatial objects based on OpenGL picking technique[J]. Acta Optica Sinica, 37, 0720001(2017).

    [3] Gou Ruixin, Du Xiaoping, Liu Hao. Advances in attitude inversion of space object based on photometric data[J]. Laser & Optoelectronics Progress, 53, 100002(2016).

    [4] Han Yi, Sun Huayan. Advances in space target optical scattering character research[J]. Infrared and Laser Engineering, 42, 758-766(2013).

    [5] Torrance K E, Sparrow E M. Theory for off-specular reflection from roughened surfaces[J]. Journal of the Optical Society of America, 57, 1105-1114(1967). http://dl.acm.org/citation.cfm?id=136924

    [6] Maxwell J R, Beard J, Weiner S et al. Bidirectional reflectance model validation and utilization[R]. Ann Arbor: Environmental Research Institute of Michigan, 10-35(1973).

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    [9] Minnaert M. The reciprocity principle in lunar photometry[J]. Astrophysical Journal, 93, 403-410(1941). http://adsabs.harvard.edu/full/1941ApJ....93..403M7

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    Chenghao Liu, Zhi Li, Can Xu, Qichen Tian. BRDF Model for Commonly Used Materials of Space Targets Based on Deep Neural Network[J]. Acta Optica Sinica, 2017, 37(11): 1129001
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