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通过扩展波长范围内的光谱学进行远程夜间鸟类分类。

Remote nocturnal bird classification by spectroscopy in extended wavelength ranges.

作者信息

Lundin Patrik, Samuelsson Per, Svanberg Sune, Runemark Anna, Åkesson Susanne, Brydegaard Mikkel

机构信息

Atomic Physics Division, Lund University, P.O. Box 118, SE-221 00 Lund, Sweden.

出版信息

Appl Opt. 2011 Jul 10;50(20):3396-411. doi: 10.1364/AO.50.003396.

Abstract

We present optical methods at a wide range of wavelengths for remote classification of birds. The proposed methods include eye-safe fluorescence and depolarization lidar techniques, passive scattering spectroscopy, and infrared (IR) spectroscopy. In this paper we refine our previously presented method of remotely classifying birds with the help of laser-induced β-keratin fluorescence. Phenomena of excitation quenching are studied in the laboratory and are theoretically discussed in detail. It is shown how the ordered microstructures in bird feathers induce structural "colors" in the IR region with wavelengths of around 3-6 μm. We show that transmittance in this region depends on the angle of incidence of the transmitted light in a species-specific way and that the transmittance exhibits a close correlation to the spatial periodicity in the arrangement of the feather barbules. We present a method by which the microstructure of feathers can be monitored in a remote fashion by utilization of thermal radiation and the wing beating of the bird.

摘要

我们展示了一系列用于鸟类远程分类的光学方法,涵盖了广泛的波长范围。所提出的方法包括人眼安全的荧光和去极化激光雷达技术、被动散射光谱学以及红外(IR)光谱学。在本文中,我们改进了之前提出的借助激光诱导的β - 角蛋白荧光对鸟类进行远程分类的方法。在实验室中研究了激发猝灭现象,并进行了详细的理论探讨。研究表明,鸟类羽毛中的有序微结构如何在波长约为3 - 6μm的红外区域诱导出结构“颜色”。我们发现该区域的透过率以物种特异性的方式取决于透射光的入射角,并且透过率与羽小枝排列的空间周期性密切相关。我们提出了一种方法,通过利用热辐射和鸟类的翅膀拍打,可以远程监测羽毛的微观结构。

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