基于同色同谱特征的模拟绿色植被光谱材料研究进展

doi:10.11896/cldb.22080054

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Abstract With the rapid development of hyperspectral reconnaissance technology, there is an increasing demand for materials which can spectrally simulate green vegetation as a counter-reconnaissance requirement. Green vegetation is one of the most widely used combat backgrounds with unique spectral characteristics in the 400—2 500 nm, with four main characteristic bands, namely ‘green peak’, ‘red edge’, ‘near-infrared plateau’, and ‘water absorption band’, derived from the chlorophyll, tissue structure and plant water content of leaves. Based on the characte-ristics of hyperspectral technology for reconnaissance, this paper reviews the current status of materials for spectrally simulating each characteristic reflection peak and the comprehensive application of existing materials in order to achieve the ‘same color and spectrum’ between the camouflage materials and the background. The paper introduces the weaknesses of the existing camouflage materials, such as poor weather resis-tance, despite the high accuracy in simulating green vegetation spectral curves. Moreover, it highlights the related work on improving spectral curve similarity and weather resistance by compounding, and discusses the future development of the simulative green vegetation spectral mate-rials.

Key words： green vegetation homochromatic and homospectral spectral modulation characteristic reflectance

Published: 10 April 2024 Online: 2024-04-11

CLC number:

T430.35

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	Articles by authors
	MIAO Shanshan
	WANG Yejian
	LI Cheng
	QIAN Qi
	XU Guoyue

Cite this article:

MIAO Shanshan,WANG Yejian,LI Cheng, et al. Research Progress on Materials Used for Spectrally Simulating Green Vegetation Based on Homochromatic and Homospectral Features[J]. Materials Reports, 2024, 38(7): 22080054-7.

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https://www.mater-rep.com/EN/10.11896/cldb.22080054 OR https://www.mater-rep.com/EN/Y2024/V38/I7/22080054

1 Wang Y, Huang S, Liu Z, et al. Journal of Optics, 2017, 46(1), 75.
2 Yang S, Shi Z. IEEE Transactions on Image Processing, 2016, 25(5), 2249.
3 Zhang X, Pan Z, Hu B, et al. IET Image Processing, 2019, 13(2), 316.
4 Zu M, Yan F, Cheng H F, et al. Science and Technology Herald, 2021, 39(14), 100 (in Chinese).
祖梅, 鄢峰, 程海峰, 等. 科技导报, 2021, 39(14), 100.
5 Liu Z M. Research on biomimetic camouflage materials for plant leaves. Ph. D. Thesis, National University of Defense Technology, China, 2009 (in Chinese).
刘志明. 植物叶片仿生伪装材料研究. 博士学位论文, 国防科学技术大学, 2009.
6 Christoph N. First World War Studies, 2015, 6(2), 113.
7 Xie D J, Lyu C L, Zu M, et al. Spectroscopy and Spectral Analysis. 2021, 41(4), 1032 (in Chinese).
谢东津, 吕呈龙, 祖梅, 等. 光谱学与光谱分析, 2021, 41(4), 1032.
8 Wang J. Design, preparation and application of green vegetation near infrared spectral characteristics simulation materials. Master’s Thesis, Nanjing University of Aeronautics and Astronautics, China, 2017 (in Chinese).
王晶. 绿色植被近红外光谱特征模拟材料设计、制备及应用研究. 硕士学位论文, 南京航空航天大学, 2017.
9 Jaramillo P, Coutinho K, Cabral B J C, et al. Chemical Physics Letters, 2011, 516(4-6), 250.
10 Hu A R. Preparation and properties of plant-like leaf spectral characteristics materials. Master’s Thesis, Jiangnan University, China, 2020 (in Chinese).
胡安然. 仿植物叶片光谱特征材料的制备及其性能. 硕士学位论文, 江南大学, 2020.
11 Yang X. Visible-NIR reflectance spectroscopy of mountain background materials and evaluation of camouflage effect of camouflage clothing. Master’s Thesis, Beijing Institute of Fashion, China, 2019 (in Chinese).
杨星. 山地背景材料的可见光-近红外反射光谱测定及迷彩服伪装效果评价. 硕士学位论文, 北京服装学院, 2019.
12 Luo J F, Xie C Q, Pan S L, et al. Journal of Quantitative Spectroscopy and Radiative Transfer, 2022, 287, 108228.
13 Gao Y. Development of vegetation background bionanomorphic materials and their spectral feature formation mechanism. Ph. D. Thesis, University of Science and Technology of China, China, 2017 (in Chinese).
高颖. 植被背景仿生材料研制及其光谱特征形成机制研究. 博士学位论文, 中国科学技术大学, 2017.
14 Büning-Pfaue H. Food Chemistry, 2003, 82(1), 107.
15 Ma L F, Shi J M, Chen Z S. Infrared Technology, 2010, 32(05), 268.
16 Liu C, Sun P S, Liu S R. Journal of Plant Ecology, 2016, 40(1), 80.
17 Wang M X, Li Q. Spectroscopy Laboratory, 2011, 28(3), 1165.
18 Zhang L X, Chen Q. Chemical Science and Technology, 2017, 25(4), 76.
19 Han Q, Li L K, Kuang G R, et al. Chemical Sensors, 2021, 41(1), 9.
20 Huang Z J, Fei Y W, Huang Z N. Modern Coating and Painting, 2006(4), 13.
21 Yang Y J, Liu Z, Hu B, et al. Journal of Bionics Engineering, 2010, 7(Suppl 4), S43.
22 Qin R. Preparation of hyperspectral remote sensing camouflage coating and its UV-Vis-NIR spectral performance. Master’s Thesis, Nanjing University of Aeronautics and Astronautics, China, 2013 (in Chinese).
秦锐. 高光谱遥感伪装涂层的制备及其UV-Vis-NIR 光谱性能研究. 硕士学位论文, 南京航空航天大学, 2013.
23 Li Y, Mei S, Byon Y, et al. ACS Sustainable Chemistry & Engineering, 2014, 2(2), 318.
24 Zhang L, Wu P, Chen H, et al. Materials Science in Semiconductor Processing, 2020, 105, 104672.
25 Brik M G, Avram N M, Avram C N. Solid State Communications, 2004, 132(12), 831.
26 Tüysüz H, Weidenthaler C, Grewe T, et al. Inorganic Chemistry, 2012, 51(21), 11745.
27 Sangeetha S, Basha R, Sreeram K J, et al. Dyes and Pigments, 2012, 94(3), 548.
28 Wu P. Visible-NIR spectral characterization of modified chromium oxide. Master’s Thesis, University of Electronic Science and Technology, China, 2020 (in Chinese).
吴潘. 改性氧化铬的可见光-近红外光谱特性研究. 硕士学位论文, 电子科技大学, 2020.
29 Zhang J, Wei Z D, Wang C H, et al. Journal of Inorganic Materials, 2010, 25(12), 1303.
30 Ai S, Zheng H, Yu J. Materials, 2020, 13(7), 1540.
31 Zhou Y, Weng X, Yuan L, et al. Journal of the Ceramic Society of Japan, 2014, 122(1425), 311.
32 Zhao R B, Su R J, Liang S, et al. Heilongjiang Science and Technology Information, 2017, 25(12), 67.
33 Zhu Q, Li C S, Zhou J C, et al. Chemical Times, 2017, 31(4), 1.
34 Luo Y, Zhen Z Y, Liao L, et al. Yunnan Metallurgy, 2022, 51(3), 116.
35 Yang L. Study of near-infrared reflectance spectra and emissivity of green vegetation simulated by LDHs. Master’s Thesis, Nanjing University of Aeronautics and Astronautics, China, 2018 (in Chinese).
杨玲. 对LDHs模拟绿色植被近红外反射光谱及发射率的研究. 硕士学位论文, 南京航空航天大学, 2018.
36 Yang L, Li C, Zhang M X, et al. Infrared Technology, 2018, 40(9), 915.
37 Yuan L, Qin X L, Zhang P, et al. Journal of Xihua University (Natural Science Edition), 2020, 39(3), 7 (in Chinese).
袁乐, 卿小龙, 张萍, 等. 西华大学学报(自然科学版), 2020, 39(3), 7.
38 Wang Q S, Yang K P, Sun W Q, et al. Guangdong Chemical, 2022, 49(8), 91.
39 Liu Q, He X. China Environmental Protection Industry, 2018, 65(2), 64.
40 Li M, Li C, Zheng S L, et al. Infrared Technology, 2015, 37(9), 788.
41 Gao Y, Ye H. International journal of heat and mass transfer, 2017, 114, 115.
42 Ye H, Gao Y, Li S, et al. Journal of Bionic Engineering, 2015, 12(1), 109.
43 Guo L. Near-infrared camouflage coating simulating the spectral characteristics of green vegetation. Master’s Thesis, Nanjing University of Aeronautics and Astronautics, China, 2013 (in Chinese).
郭利. 模拟绿色植被光谱特征的近红外伪装涂层研究. 硕士学位论文, 南京航空航天大学, 2013.
44 Jiang X J, Lv X L, Pan J L, et al. Spectroscopy and Spectral Analysis, 2015, 35(7), 1835.
45 Xia C S. Design and development of a new hyperspectral coating. Master’s Thesis, Nanjing University, China, 2018 (in Chinese).
夏晨硕. 一种新型高光谱涂层的设计与研制. 硕士学位论文, 南京大学, 2018.
46 Wang C. Preparation of LDHs based on organic pigment intercalation to imitate green vegetation spectral pigments. Master’s Thesis, Xihua University, China, 2020 (in Chinese).
王灿. 基于有机色素插层的 LDHs 仿绿色植被光谱颜料制备方法研究. 硕士学位论文, 西华大学, 2020.