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Bionic membrane simulating solar spectrum reflection characteristics of natural leaf

机译:仿生膜模拟天然叶片太阳光谱反射特性

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Hyperspectral imaging is becoming an important detection method, which can identify the subtle differences between the reflection spectra of a target and its background. Considering that vegetation is one of the most important backgrounds, a bionic membrane containing hygroscopic material and chromium sesquioxide (Cr_2O_3) pigment was prepared to counter the hyperspectral detection through simulating the solar spectrum reflectance of natural leaf. The effects of water and Cr_2O_3 contents on the reflectance of the bionic membrane were discussed, and the absorption and scattering coefficients of the bionic membrane were calculated via a four-flux model to elucidate its reflection mechanism. Based on the obtained absorption and scattering coefficients, the reflectances of the bionic membranes (with a volume fraction of water in the range of 9.75-51.92% during the day time) containing different volume fraction of Cr_2O_3 (f_c) were calculated through the four-flux model. Besides, a military specification of USA was used as the spectrum requirement of the bionic membrane in our work to determine an appropriate Cr_2O_3 content. It was found that when f_c is 1.61%, the reflection spectra of the 3 mm thick bionic membranes can not only meet the military specification but also become opaque, which are capable to camouflage a target.
机译:高光谱成像正成为一种重要的检测方法,它可以识别目标及其背景的反射光谱之间的细微差异。考虑到植被是最重要的背景之一,通过模拟天然叶片的太阳光谱反射率,制备了一种包含吸湿材料和三氧化二铬(Cr_2O_3)颜料的仿生膜,以对抗高光谱检测。讨论了水和Cr_2O_3含量对仿生膜反射率的影响,并通过四通量模型计算了仿生膜的吸收和散射系数,以阐明其反射机理。根据获得的吸收系数和散射系数,通过以下四个步骤计算出包含不同体积分数的Cr_2O_3(f_c)的仿生膜(水的体积分数在白天为9.75-51.92%范围)。通量模型。此外,在我们的工作中,使用美国的军事规格作为仿生膜的光谱要求,以确定合适的Cr_2O_3含量。发现当f_c为1.61%时,3毫米厚的仿生膜的反射光谱不仅符合军用规格,而且变得不透明,可以伪装目标。

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