Fluorescence‐based detection of field targets using an autonomous unmanned aerial vehicle system

This dataset comprises of the IDL code referenced in the 'Open Research' section of the Kaye and Pittman (2020) study 'Fluorescence‐based detection of field targets using an autonomous unmanned aerial vehicle system' published in Methods in Ecology and Evolution (https://doi.org/10.1111/2041-210X.13402). This study describes a proof‐of‐concept autonomous unmanned aerial vehicle (UAV) system that utilizes the fluorescence characteristics unique to different materials to scan and acquire targets in the field e.g. fossils, rocks and minerals, organisms and archaeological artefacts. This is possible because these targets are often highly fluorescent against lower fluorescence backgrounds and may exhibit different colours. Fluorescence is stimulated by a near‐UV laser that is projected across the ground as a horizontal line directly below the UAV. The IDL code is for laser line and colour extractions in the laser scan strip. The raw .jpeg data for the IDL code is not provided here as this...本数据集包含Kaye与Pittman（2020）发表于《生态学与进化方法》（Methods in Ecology and Evolution）的研究《基于荧光检测野外目标的自主无人机系统》中"开放研究（Open Research）"板块所引用的交互式数据语言（Interactive Data Language，简称IDL）代码，该研究的DOI链接为https://doi.org/10.1111/2041-210X.13402。 该研究提出了一款概念验证型自主无人机（Unmanned Aerial Vehicle，简称UAV）系统，该系统依托不同材料独有的荧光特性，可在野外扫描并捕获目标，例如化石、岩石与矿物、生物体以及考古文物。这类目标通常在低荧光背景下呈现出较强的荧光信号，且可表现出差异化的颜色，因此该检测方案具备可行性。荧光由近紫外激光激发，该激光以水平线的形式投射在无人机正下方的地面上。本数据集附带的IDL代码用于提取激光扫描条带中的激光线与颜色信息。用于该IDL代码处理的原始JPEG（.jpeg）数据未在此处提供，具体原因如下……