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模拟绿色植被光谱特征的高光谱伪装材料与技术研究进展

祖梅 鄢峰 甘沅丰 刘雪梅 刘东青 李铭洋 程海峰

祖梅, 鄢峰, 甘沅丰, 刘雪梅, 刘东青, 李铭洋, 程海峰. 模拟绿色植被光谱特征的高光谱伪装材料与技术研究进展[J]. 红外技术, 2022, 44(10): 1018-1026.
引用本文: 祖梅, 鄢峰, 甘沅丰, 刘雪梅, 刘东青, 李铭洋, 程海峰. 模拟绿色植被光谱特征的高光谱伪装材料与技术研究进展[J]. 红外技术, 2022, 44(10): 1018-1026.
ZU Mei, YAN Feng, GAN Yuanfeng, LIU Xuemei, LIU Dongqing, LI Mingyang, CHENG Haifeng. Progress on Hyperspectral Camouflage Materials and Techniques for Spectral Characteristic Simulation of Green Vegetation[J]. Infrared Technology , 2022, 44(10): 1018-1026.
Citation: ZU Mei, YAN Feng, GAN Yuanfeng, LIU Xuemei, LIU Dongqing, LI Mingyang, CHENG Haifeng. Progress on Hyperspectral Camouflage Materials and Techniques for Spectral Characteristic Simulation of Green Vegetation[J]. Infrared Technology , 2022, 44(10): 1018-1026.

模拟绿色植被光谱特征的高光谱伪装材料与技术研究进展

基金项目: 

国防科工局稳定支持科研项目 WDZC20195500505

详细信息
    作者简介:

    祖梅(1983-),女,博士,国防科技大学空天科学学院副研究员,主要从事光电信息功能材料方向的研究。E-mail:zumei2003@163.com

  • 中图分类号: TB34

Progress on Hyperspectral Camouflage Materials and Techniques for Spectral Characteristic Simulation of Green Vegetation

  • 摘要: 高光谱成像技术对伪装隐身技术提出了新的更高要求。研究绿色植被光谱特征的各种模拟技术,可为解决高光谱成像探测下目标的伪装问题提供新的思路。本文总结了绿色植物在可见-近红外波段以及热红外波段的光谱特征,分析了其在不同波段的光谱特性形成机制,阐述了近年来模拟绿色植被光谱特征的高光谱伪装材料与技术的研究进展,分析了现有高光谱伪装材料与技术的特点及存在的弊端,提出了模拟绿色植被光谱特征的高光谱伪装材料与技术的发展方向和趋势。
  • 图  1  普通绿色伪装材料和绿色植物背景的反射光谱曲线

    Figure  1.  Spectral curves of general green camouflage materials and green plant background

    图  2  不同绿色植被的反射光谱

    Figure  2.  Spectral reflectance of different green vegetation

    图  3  叶绿素a和b的分子结构[7]

    Figure  3.  The molecular structure of chlorophyll a and b[7]

    图  4  新鲜香樟叶和枯黄香樟叶的光谱对比

    Figure  4.  Spectral contrast of fresh camphor leaf and yellow camphor leaf

    图  5  不同种类绿色叶片的光谱特征(a) 黑栎对比铝镜的平均反射率光谱[11];(b) 绿色和衰老(黄色)樱桃叶片的反射率光谱[11]

    Figure  5.  Spectral characteristics of different green leaves (a) Average reflectance spectra of black oak (Quercus velutina) versus an aluminium mirror; (b) reflectance spectra of green and senescent (yellow) cherry leaves[11]

    图  6  采用实验室用DHR光谱仪和野外光谱仪测量得到的(a) 野生黑樱桃以及(b) 红花槭的红外发射率光谱[12]

    Figure  6.  DHR and field spectrometer measurements of (a) Prunus serotina (wild cherry) and (b) Acer rubrum (red maple)[12]

    图  7  3个月光照处理前后的仿生材料的反射光谱曲线[14]

    Figure  7.  Before and after three-month sunlight treatment[14]

    图  8  微胶囊仿生材料与樟树及梧桐的反射光谱曲线[15]

    Figure  8.  Reflectance spectra of poplar leaves and bionic composite material[15]

    图  9  保水率随时间的变化曲线[16]

    Figure  9.  The curves of water retention rate with time[16]

    图  10  植物叶片与仿生材料的反射率:(a1) 桂花树叶片,(a2) 樟树叶片,(a3) M2[18]

    Figure  10.  The solar spectrum reflectances of (a1) camphor leaf (a2) Osmanthus fragrans leaf and (a3) bionic leaf[18]

    图  11  酞菁锌的分子结构对其紫外可见吸收光谱的影响:(a)分子结构图;(b) 紫外可见吸收光谱[24]

    Figure  11.  Effect of molecular structure of zinc phthalocyanine on its UV-VIS absorption spectrum (a) molecular structure; (b) UV-Vis absorption spectra

    图  12  以DMSO作溶剂的酞菁铜的紫外可见吸收光谱[27]

    Figure  12.  UV-Vis absorption spectra of copper phthalocyanine in DMSO[27]

    图  13  不同纯度四硝基酞菁钴的光谱反射曲线[24]

    Figure  13.  Spectral reflectance curves of different purity tetra-nitrophthalocyanine cobalt metal[24]

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  • 收稿日期:  2020-04-14
  • 修回日期:  2022-06-24
  • 刊出日期:  2022-10-20

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