散射光谱的目标材质及比例反演研究

doi:10.3964/j.issn.1000-0593(2022)08-2340-07

Abstract
References
Related Citation (15)

Download: PDF (3309 KB)
Export: BibTeX | EndNote (RIS)

Abstract The paper investigated the inverse method for the surface materials and the proportions of the space object from long distances based on the scattering spectra. The research results shall provide the data references for space debris detection and forecasting. Firstly, based on the long-distance object detection physical model of scattering spectra, we first constructed the object parameter inverse physical model based on scattering spectra and provided the inverse algorithm for object surface material and its proportion based on the least norm theory method. By combining with the lighting characteristics, object material surface optical reflection characteristics, incidence, reflection and detector angle data, etc., using the multimodal fusion model of the bidirectional reflectance distribution function (BRDF) and characterizing the optical reflection characteristics of the complex material surface. We took the corresponding area in the BRDF as the parameter to be inverted and obtained the inversion algorithm of the object surface materials and its proportion information. Secondly, we performed the experimental validation by building an indoor scattering spectrum detection and acquisition system to perform the scattering spectrum detection and data acquisition of single material and multiple materials with different scales. We intercepted the effective wavelength range of 400~800 nm by preprocessing the scattering spectrum data. Combined with theoretical analysis and inversion algorithm, we took the samples with 4 kinds of materials and performed the material and its proportion inversion with equal proportional and non-equal proportion combination for the samples. The minimum, maximum and average errors of the equal proportion inversion are 0.8%, 13.6% and 4.9%. Moreover, the minimum, maximum and average errors of the non-equal proportion inversion are 6%, 12% and 9.25%. Therefore, according to the above testing results, the maximum average error for inversion is 9.25%. Once considering the error influence of 2.89% from the incidence light source, the maximum average error for inversion will be lower than 6.36%. So we suggested the average inversion error will be less than 10%. Thereby the accuracy of the inverse method is verified. Finally, take one failed satellite as an example. The proposed method was used to invert the materials and proportions of its on-orbit scattering spectra. Its surface materials consist of solar arrays, insulation film and carbon fiber plates, which matches well with the real situation. In summary, this paper has provided a new technical approach for the inversion identifying of space object materials and their proportions from long distances.

Key words：Scattering spectra; Material proportions; Inversion

Received: 2021-11-30 Accepted: 2022-05-06

ZTFLH:

Corresponding Authors: CAI Hong-xing E-mail: ciomsz@126.com

Cite this article:

SHI Jing,TAN Yong,CHEN Gui-bo, et al. Inversion of Object Materials and Their Proportions Based on Scattering Spectra[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(08): 2340-2346.

URL:

https://www.gpxygpfx.com/EN/10.3964/j.issn.1000-0593(2022)08-2340-07 OR https://www.gpxygpfx.com/EN/Y2022/V42/I08/2340

[1] ZHENG Shi-gui, YAN Jun(郑世贵, 闫军). Space International(国际太空), 2014，(6): 49.
[2] CHEN Chun-yan, WU Sheng-bao, DONG Xiao-lin, et al(陈春燕，吴胜宝，董晓琳，等). Journal of Astronautic Metrology and Measurement(宇航计测技术), 2017, 37: 54.
[3] ZENG An-li, JIN Yong, MA Zhi-hao, et al(曾安里, 金勇, 马志昊, 等). Space Debris Research（空间碎片研究），2019, 19(4): 21.
[4] Linares R, Shoemaker M, Palmer D M, et al. Advances in the Astronautical Sciences, 2014, 152: 1889.
[5] Wetterer C J, Jah M. Journal of Guidance, Control, and Dynamics, 2009, 32: 1648.
[6] YUAN Yan, SUN Cheng-ming, ZHANG Xiu-bao(袁艳, 孙成明, 张修宝). Acta Physica Sinica(物理学报), 2010, 59: 2097.
[7] Wang Hongyuan, Zhang Wei, Dong Autuo. Measurement, 2013, 46(9): 3654.
[8] Hou Qingyu, Zhi Xiyang, Zhang Huili, et al. Proc. SPIE, 2014, 9299: 929914.
[9] YUAN Yan, SUN Cheng-ming, ZHANG Xiu-bao, et al(袁艳, 孙成明, 张修宝, 等). Acta Optica Sinica（光学学报），2010，30(9): 2748.
[10] Wang Hongyuan, Zhang Wei. Journal of Modern Optics, 2012, 59(6): 547.
[11] Wang Hongyuan, Zhang Wei, Dong Autuo. Applied Optics, 2012, 51(32): 7810.
[12] Wang Hongyuan, Zhang Wei, Wang Fuguang. Science China Technological Sciences, 2012, 55(4): 982.
[13] SONG Wei, MIAO Xin-hui, SHI Jing, et al(宋薇, 苗馨卉, 石晶, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2017, 37(4): 1027.
[14] WU Zhen-sen, HAN Xiang-e, ZHANG Xiang-dong, et al(吴振森, 韩香娥, 张向东, 等). Acta Optica Sinica（光学学报），1996, 16(3): 262.
[15] Calef B, Africano J, Birge B, et al. Proc. SPIE, 2006, 6307: 63070E.
[16] Hinks J C, Linares R, Crassidis J. Attitude Observability From Light Curve Measurements Conference Aiaa Guidance, Navigation, and Control, 2013.
[17] Holzinger M J, Alfriend K T, Wetterer C J，et al. Journal of Guidance Control and Dynamics, 2014, 37(3): 921.
[18] GOU Rui-xin, DU Xiao-ping, LIU Hao(苟瑞新, 杜小平, 刘浩). Laser & Optoelectronics Progress(激光与光电子学进展), 2016, 53(10): 101502.
[19] SUN Cheng-ming, ZHAO Fei, YUAN Yan(孙成明, 赵飞, 袁艳). Acta Physica Sinica(物理学报), 2015, 64(3): 034202.
[20] HOU Qing-yu, GONG Jin-nan, FAN Zhi-peng, et al(侯晴宇, 巩晋南, 樊志鹏, 等). Acta Physica Sinica(物理学报), 2017, 66(15): 154201.