Design of BRDF measurement system
based on multi-rotor UAV

Abstract

Abstract: Considering the non-portability and low efficiency of the measurement of bidirectional reflectance distribution function at present, a measurement system of bidirectional reflectance distribution function based on multi-rotor UAV was developed. The system is mainly composed of multi-rotor UAV and visible - short wave infrared spectrometer, with the observation lens of the spectrometer controlled by a high-precision UAV cradle head. The spectrometer adopts two wave band detection units, and the overall spectral coverage is 400～1700 nm. The two detection units of the spectrometer detect signals with flat field concave grating and linear array detector, and their spectral resolution is better than 3nm and 12nm respectively. In order to verify the comprehensive performance of the measurement system of bidirectional reflectance distribution function based on multi-rotor UAV, the surface directional characteristics of Dunhuang radiation correction field were measured using the measurement system. The experimental results show that the portable measurement system can greatly improve the measurement efficiency of bidirectional reflectance distribution function and provide a useful reference for the future development of measurement of bidirectional reflectance distribution function.

Key words: unmanned aerial vehicle, bidirectional reflectance distribution function, visible-short wave infrared, measurement system

CLC Number:

TN219
O433.1

ZHANG Quan , LI Xin , WEI Wei , LIU Enchao , ZHANG Yanna , HUANG Xionghao , CHEN Shengli , KANG Zhuhai , ZHENG Xiaobing . Design of BRDF measurement system based on multi-rotor UAV[J]. Journal of Atmospheric and Environmental Optics, 2023, 18(3): 235-244.

References 13

[1]	Liang S L. Quantitative Remote sensing of Land Surfaces [M]. Fan J W, Transl, Beijing: Science Press, 2009: 130-141.
(美)	梁顺林. 定量遥感 [M]. 范闻捷, 译. 北京: 科学出版社, 2009: 130-141.
[2]	Biggar S F. In-Flight Methods for Satellite Sensor Absolute Radiometric Calibration [D]. Tucson, AZ, USA: The University of
	Arizona, 1990.
	图 10　 2019年敦煌辐射校正场BRF分布。 (a) λ = 554 nm; (b) λ = 857 nm; (c) λ = 1242 nm
	Fig. 10　 BRF distribution of Dunhuang test site in 2019. (a) λ = 554 nm; (b) λ = 857 nm; (c) λ = 1242 nm
	243
[3]	Zhang Q, Li X, Zhang Y N, et al. Opto-mechanical design and thermodynamic finite element analysis of automatic multiband
	solar radiometer [J]. Acta Photonica Sinica, 2019, 48(4): 177-187.
	张权, 李新, 张艳娜, 等. 自动多波段太阳辐射计光机设计及热力学有限元分析 [J]. 光子学报, 2019, 48(4): 177-187.
[4]	Li X, Zheng X B, Yin Y P. Progress in automated site vicarious calibration technologies [J]. Journal of Atmospheric and
	Environmental Optics, 2014, 9(1): 17-21.
	李新, 郑小兵, 尹亚鹏. 场地自动化定标技术进展 [J]. 大气与环境光学学报, 2014, 9(1): 17-21.
[5]	Han Q J, Liu L, Fu Q Y, et al. Vicarious calibration of multiple sensors based on reanalysis data of pseudo-invariant site [J].
	Acta Optica Sinica, 2014, 34(11): 323-329.
	韩启金, 刘李, 傅俏燕, 等. 基于稳定场地再分析资料的多源遥感器替代定标 [J]. 光学学报, 2014, 34(11): 323-329.
[6]	Li Y, Rong Z G, Zheng Z J, et al. Post launch site calibration of visible and near-infrared channels of FY-3A visible and
	infrared radiometers [J]. Optics and Precision Engineering, 2009, 17(12): 2966-2974.
	李元, 戎志国, 郑照军, 等. FY-3A扫描辐射计的可见近红外通道在轨场地定标 [J]. 光学精密工程, 2009, 17(12): 2966-
	2974.
[7]	Li X Y, Gu X F, Yu T, et al. Enhanced radiometric calibration coefficients for CCD camera by considering BRDF of
	calibration sites [J]. Journal of Remote Sensing, 2006, 10(5): 636-643.
	李小英, 顾行发, 余涛, 等. 考虑地物BRDF 特性改进后的CBERS-02 卫星CCD 相机的辐射定标系数 [J]. 遥感学报,
20	06, 10(5): 636-643.
[8]	He J T, Lu Y H. The measurement and evaluation of bidirectional reflectance characteristics of Dunhuang radiative calibration
	site [J]. Journal of Remote Sensing, 1997, 1(4): 246-251.
	何积泰, 陆亦怀. 敦煌辐射校正场方向反射特性测量与评价 [J]. 遥感学报, 1997, 1(4): 246-251.
[9]	Li X. Development and Application of VNIR-SWIR Bidirectional Reflectance Distribution Function (BRDF) Measurement
	System [D]. Hefei: Hefei Institutes of Physical Science, Chinese Academy of Sciences, 2008.
	李新. 可见-短波红外双向反射分布函数测量系统的研制与应用 [D]. 合肥: 中国科学院合肥物质科学研究院, 2008.
[10]	Li Y, Wu H Y, Rong Z G, et al. Field portable directional reflectance measurement system and its application [J]. Chinese
	Journal of Scientific Instrument, 2010, 31(10): 2345-2351.
	李元, 吴浩宇, 戎志国, 等. 野外便携式方向反射比测量系统及其应用 [J]. 仪器仪表学报, 2010, 31(10): 2345-2351.
[11]	Gu X F, Tian G L, Yu T. Principle and Method of Radiation Calibration for Space Optical Remote Sensor [M]. Beijing:
	Science Press, 2013: 74-75.
	顾行发, 田国良, 余涛. 航天光学遥感器辐射定标原理与方法 [M]. 北京: 科学出版社, 2013: 74-75.
[12]	Yu T Q, Wei W, Zhang Y N, et al. Analysis of the BRDF characteristics of Dunhuang radiometric calibration site in the
	spring [J]. Acta Photonica Sinica, 2018, 47(6): 197-206.
	余谭其, 韦玮, 张艳娜, 等. 敦煌辐射校正场春季BRDF特性分析 [J]. 光子学报, 2018, 47(6): 197-206.
[13]	Zhang Q. Development and Test of Site Reflectivity Observation System Based on Direct Method [D]. Hefei: University of
	Science and Technology of China, 2019: 33-34.
	张权. 场地反射率直接法观测系统的研制与测试 [D]. 合肥: 中国科学技术大学, 2019: 33-34.

Design of BRDF measurement system based on multi-rotor UAV

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