基于多级靶标的航空多光谱相机绝对辐射定标

doi:10.3964/j.issn.1000-0593(2023)11-3571-11

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Abstract Site-based absolute radiometric calibration is an important guarantee for quantitatively application of aerial remote sensing data. The key to aerial camera calibration is to reduce the influence of field measurement environment and various measurement errors and improve the stability and accuracy of calibration results. In this paper, five gray scale tarps with different reflectance were set up at the Pu'er test site in Yunnan Province from 26th to 28th December 2020, and a reflectance-based method, which requires synchronous measurements including the surface reflectance, atmospheric parameters and geometry information when the aircraft overpass the calibration test site, was used for absolute radiometric calibration of Lecia DMC Ⅲ airborne multispectral camera. These parameters were input into the MODerate resolution atmospheric TRANsmission (MODTRAN) atmospheric radiative transfer model to obtain the spectral radiance at the entrance pupil at the aircraft height. Then, combined with the average DN of the selected area of the image, the different absolute radiometric calibration coefficients were derived for the DMC Ⅲ camera via three consecutive calibration experiments based on single-, dual- and multi-site methods. By systematically comparing the calibration results of single-, dual- and multi-site methods and analyzing various error sources, proposing a high-precision absolute radiometric calibration method based on multiple observations with multi-scale tarps. Moreover, the calibration uncertainty of each band is 7.24% (blue), 6.20% (green), 5.35% (red) and 4.68% (near infrared), respectively. In order to verify the radiometric calibration results, the reflectance inversion validation was adopted to prove the rationality of the three different calibration coefficients obtained by single-, dual- and multi-site methods. The different absolute calibration coefficients obtained by single-, dual- and multi-site methods were used to conduct atmospheric correction for various typical ground objects in the test site with Atmospheric/Topographic Correction for Airborne Imagery (ATCOR 4) atmospheric correction software, and the surface reflectance obtained by inversion was compared with the measured surface reflectance for verification. The results show that multiple experiments based on multi-scale tarps in a time are strongly critical for improving the calibration accuracy. The single-site method with 5%, 20% and 60% tarps and single multi-site for single experiment method have relatively poor calibration accuracy. The calibration errors of the single-site method with 40% tarp and dual-site method decrease obviously, while the multi-site for multiple experiments method has relatively high calibration accuracy. The average relative errors of the three methods are 10%, 5.43% and 3.18%, respectively. The calibration method of aerial multispectral camera based on multiple experiments with multi-scale tarps put forward in this paper reduces the calibration uncertainty of single-site method, dual-site method and single experiment, which has the high reference for the high-accuracy site-based calibration of aerial cameras and the quantitative application of aerial data in the future.

Key words：Remote sensing; Absolute radiometric calibration; Multi-scale tarps; Reflectance-based method; Validation

Received: 2022-06-23 Accepted: 2022-10-11

ZTFLH:

TP722.4

Corresponding Authors: ZHANG Hao E-mail: zhanghao612@radi.ac.cn

Cite this article:

CUI Zhen-zhen,MA Chao,ZHANG Hao, et al. Absolute Radiometric Calibration of Aerial Multispectral Camera Based on Multi-Scale Tarps[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3571-3581.

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https://www.gpxygpfx.com/EN/10.3964/j.issn.1000-0593(2023)11-3571-11 OR https://www.gpxygpfx.com/EN/Y2023/V43/I11/3571

[1] ZHANG Zhi-jie, ZHANG Hao, CHANG Yu-guang, et al(张志杰, 张浩, 常玉光, 等). National Remote Sensing Bulletin(遥感学报), 2015, 19(5): 719.
[2] ZHANG Bing, ZHANG Hao, CHEN Zheng-chao, et al(张兵, 张浩, 陈正超, 等). Radiometric Calibration for Optical Remote Sensing(光学遥感辐射定标). Beijing: Science Press(北京: 科学出版社), 2020.
[3] GU Xing-fa, TIAN Guo-liang, YU Tao, et al(顾行发, 田国良, 余涛, 等). Principles and Methods of Radiometric Calibration for Aerospace Optical Remote Sensors(航天光学遥感器辐射定标原理与方法). Beijing: Science Press(北京: 科学出版社), 2013.
[4] BAO Shi-wei, CHEN Hong-yao, ZHANG Li-ming, et al(包诗薇, 陈洪耀, 张黎明, 等). Acta Optica Sinica(光学学报), 2021, 41(4): 210.
[5] Slater P N, Biggar S F, Holm R G, et al. Remote Sensing of Environment, 2015, 22(1)：11.
[6] Thome K J, Crowther B G, Biggar S F. Canadian Journal of Remote Sensing, 1997, 23(4): 309.
[7] Slater P N, Biggar S F, Thome K J, et al. Journal of Atmospheric and Oceanic Technology, 1996, 13(2)：349.
[8] Thome K J, Whittington E E, Lamarr J H, et al. Proc SPIE, 2000, 4049: 134.
[9] Biggar S F, Dinguirard M C, Geilman D I, et al. Proc SPIE, 1991, 1493: 155.
[10] Thome K J, Whittington E E, Smith N, et al. Proc SPIE, 2000, 4135: 51.
[11] HU Xiu-qing, ZHANG Yu-xiang, QIU Kang-mu(胡秀清, 张玉香, 邱康睦). National Remote Sensing Bulletin(遥感学报), 2003, 7(6): 458.
[12] FU Qiao-yan, MIN Xiang-jun, LI Xing-chao, et al(傅俏燕, 闵祥军, 李杏朝, 等). National Remote Sensing Bulletin(遥感学报), 2006, 10(4): 433.
[13] Gao Hailiang, Gu Xingfa, Yu Tao, et al. Science China Technological Sciences, 2010, 53(11): 3119.
[14] Zhang Hao, Zhang Bing, Chen Zhengchao, et al. Remote Sensing, 2018, 10(1): 120.
[15] ZHAO Hai-tao, YANG Hong, PAN Jie, et al(赵海涛, 杨宏, 潘洁, 等). Development Status and Trends of Airborne Remote Sening Optical Cameras(航空遥感光学相机的发展现状及趋势). The 7th China High Resolution Earth Observation Conference(第七届高分辨率对地观测学术年会)，2020.
[16] ZHAO Hang, GU Xing-fa, GAO Hai-liang, et al(赵航, 顾行发, 高海亮, 等). Science of Surveying and Mapping(测绘科学), 2015, 40(3): 146.
[17] Merchant D C, Schenk A, Habib A, et al. USGS/OSU Progress With Digital Camera in Situ Calibration Methods, International Workshop on Radiometric and Geometric Calibration, 2003.
[18] Cramer M, Fritsch D. 10 Years ifp Test Site Vaihingen/Enz: An Independent Performance Study, Photogrammetric Week '05, 2005. 79.
[19] Honkavaara E, Peltoniemi J, Ahokas E, et al. Photogrammetric Engineering and Remote Sensing, 2008, 74(1): 95.
[20] Honkavaara E, Hakala T, Peltoniemi J, et al. Remote Sensing, 2010, 2(8): 1892.
[21] ZHANG Yong-sheng(张永生). Journal of Geomatics Science and Technology(测绘科学技术学报), 2012, 29(2): 79.
[22] XUE Wu, ZHANG Yong-sheng, ZHAO Ling, et al(薛武, 张永生, 赵玲, 等). Acta Geodaetica et Cartographica Sinica(测绘学报), 2017, 46(2): 198.
[23] YAN Lei, LIAO Xiao-han, ZHOU Cheng-hu, et al(晏磊, 廖小罕, 周成虎, 等). Journal of Geo-information Science(地球信息科学学报), 2019, 21(4): 476.
[24] LI Chuan-rong, MA Ling-ling, TANG Ling-li, et al(李传荣, 马灵玲, 唐伶俐, 等). National Remote Sensing Bulletin(遥感学报), 2021, 25(1): 198.
[25] CHEN Wei, YAN Lei, GOU Zhi-yang, et al(陈伟, 晏磊, 勾志阳, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2012, 32(12): 3169.
[26] SONG Jian, ZHAO Shuai, YU Hang, et al(宋健, 赵帅, 于航, 等). Value Engineering(价值工程), 2018, 37(23): 184.
[27] Thome K J. Remote Sensing of Environment, 2001, 78(1): 27.
[28] Li Haiwei, Zhang Hao, Zhang Bing, et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 8(6): 3209.
[29] LIU Bing-yang(刘冰洋). Railway Survey and Design(铁道勘测与设计), 2017, (4): 28.
[30] BI Chuang(毕创). Geomatics & Spatial Information Technology(测绘与空间地理信息), 2020, 43(4): 222.
[31] Zhang Hao, Zhang Bing, Chen Dongmei, et al. Journal of Atmospheric and Oceanic Technology, 2013, 30(5): 929.
[32] ZHANG Yu-xiang, ZHANG Guang-shun, QIU Kang-mu, et al(张玉香, 张广顺, 邱康睦, 等). Journal of Applied Meteorological Science(应用气象学报), 1998，9(4): 106.
[33] Thome K J, Gellman D I, Parada Jr R J, et al. Proc SPIE, 1993, 1938: 126.
[34] Eck T F, Holben B N, Reid J S, et al. Journal of Geophysical Research Atmospheres, 1999, 104: 31333.