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Spectral characteristics of moist birch leaves and synthetic materials: experimental studies and evaluation of models
Optical Engineering ( IF 1.3 ) Pub Date : 2021-11-01 , DOI: 10.1117/1.oe.60.11.117102
Alexander Mikkelsen 1 , Gorm K. Selj 1
Affiliation  

The optical depth of biomaterials and natural backgrounds varies with their environment and incoming light properties. Deciduous trees, for instance, have canopy thicknesses that vary significantly from one place to another. Leaves constituting canopies absorb most of the light in the visible region, while transmitting a large ratio of the incoming near-infrared light. Such variations in the spectral properties of biomaterials pose complicated challenges for developing camouflage material and precise land area mapping by remote sensors. We aim to address these challenges by investigating multi-layered birch leaves, a biomaterial abundant throughout Northern Europe. We measured and compared the reflectance, transmission, and absorptance of moist birch leaves between 250 and 2500 nm and compared their values with the spectral properties of three different synthetic materials. We found that the spectral properties of the synthetic materials matched those of the birch leaf at certain wavelengths and material thicknesses. The results highlight the importance of choosing appropriate material thickness when designing camouflage and having knowledge of the thickness variation of the biomaterial constituting the background. Furthermore, the results are of relevance for wavelength-dependent detections based on spectral anomalies of artificial objects when recorded through vegetation layers. Moreover, we tested the spectral data of the materials against an earlier published extinction model. With few exceptions, the model fit the spectral data well and could be used to estimate the spectral properties of the materials as a function of their thickness. We also compared the accuracy of the extinction model with two other models and discussed their value and practicality. Our findings will be valuable for the development of camouflage materials as well as advanced multi-layered fabric technology and remote sensing applications.

中文翻译:

湿桦树叶和合成材料的光谱特性:模型的实验研究和评估

生物材料和自然背景的光学深度随它们的环境和入射光特性而变化。例如,落叶树的树冠厚度从一个地方到另一个地方差异很大。构成树冠的叶子吸收了大部分可见光区域,同时透射了大部分入射近红外光。生物材料光谱特性的这种变化对开发伪装材料和通过遥感器进行精确的陆地面积测绘提出了复杂的挑战。我们的目标是通过研究多层桦树叶来应对这些挑战,这是一种遍布北欧的生物材料。我们测量并比较了反射率、透射率、和 250 到 2500 nm 之间的湿桦树叶的吸收率,并将它们的值与三种不同合成材料的光谱特性进行比较。我们发现,在某些波长和材料厚度下,合成材料的光谱特性与桦树叶的光谱特性相匹配。结果强调了在设计迷彩和了解构成背景的生物材料的厚度变化时选择合适材料厚度的重要性。此外,当通过植被层记录时,结果与基于人造物体光谱异常的波长相关检测相关。此外,我们根据较早发表的消光模型测试了材料的光谱数据。除了少数例外,该模型很好地拟合了光谱数据,可用于估计作为材料厚度函数的材料的光谱特性。我们还将灭绝模型的准确性与其他两个模型进行了比较,并讨论了它们的价值和实用性。我们的发现将对迷彩材料的开发以及先进的多层织物技术和遥感应用具有重要意义。
更新日期:2021-11-09
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