Measuring and Modeling the Bidirectional Reflection Distribution Function of Space Object's Surface Material
- DOI
- 10.2991/icmemtc-16.2016.318How to use a DOI?
- Keywords
- bidirectional reflection distribution function (BRDF); relative measurement; space object; five-parametric model; the simulated annealing algorithm
- Abstract
Bidirectional reflection distribution function (BRDF) is broadly used in many fields, such as physics, remote sensing, computer graphics and scattering in optical band and microwave band. The BRDF measurement instrument used to obtain raw measurement data is presented firstly. The BRDF data of two typical space object's surface materials (yellow and silver foil) are measured. Measurement results show that the scattering angle corresponding to the maximum value of BRDF curve is generally in the specular reflection direction; the other BRDF values decrease quickly as scattering angle deviate from the specular reflection direction. The optimum parameter of the five-parameter BRDF model are retrieved based on simulated annealing algorithm and the root mean square error is less than 6%. The feasibility and reliability of the modeling are verifed by comparing the data calculated by the five-parametric model and the data measured originally. The measuring and modeling results could provide reference for space object detection and identification.
- Copyright
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Peng LI AU - Zhi LI AU - Can XU PY - 2016/04 DA - 2016/04 TI - Measuring and Modeling the Bidirectional Reflection Distribution Function of Space Object's Surface Material BT - Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control PB - Atlantis Press SP - 1676 EP - 1681 SN - 2352-5401 UR - https://doi.org/10.2991/icmemtc-16.2016.318 DO - 10.2991/icmemtc-16.2016.318 ID - LI2016/04 ER -