Atomic Physics Division, Lund University, P.O. Box 118, 221 00 Lund, Sweden.
Appl Spectrosc. 2013 May;67(5):477-90. doi: 10.1366/12-06860.
A challenging task in ornithology lies in identifying high-altitude nocturnal migrating bird species and genders. While the current approaches including radar, lunar obscuration, and single-band thermal imaging provide means of detection, a more detailed spectral or polarimetric analysis of light has the potential for retrieval of additional information whereby the species and sex could be determined. In this paper, we explore remote classification opportunities provided by iridescent features within feathers in the mid-infrared region. Our approach first involves characterizing the microstructural features of the feather by using rotation and straining, and a scheme for their remote detection is proposed by correlating these microstructural changes to spectral and polarimetric effects. Furthermore, we simulate the spectral signature of the entire bird by using a model that demonstrates how classification would be achieved. Finally, we apply infrared hyperspectral polarization imaging, showing that the net iridescent effect persists for the bird as a whole.
鸟类学中的一个挑战在于识别高海拔夜间迁徙鸟类的种类和性别。虽然当前的方法包括雷达、月食和单波段热成像提供了检测手段，但对光的更详细的光谱或偏振分析有可能检索到其他信息，从而确定物种和性别。在本文中，我们探讨了中红外区域内羽毛内虹彩特征提供的远程分类机会。我们的方法首先涉及使用旋转和应变来描述羽毛的微观结构特征，并通过将这些微观结构变化与光谱和偏振效应相关联，提出了一种远程检测方案。此外，我们使用一个模型来模拟整个鸟的光谱特征，展示了如何实现分类。最后，我们应用红外高光谱偏振成像，表明整个鸟的净虹彩效果仍然存在。
