Mao Yiwei, Betters Christopher H, Garske Samuel, Randle Jeremy, Wong K C, Cairns Iver H, Evans Bradley J
School of Physics, The University of Sydney, Sydney, NSW 2006, Australia.
ARC Training Centre for CubeSats UAVs and Their Applications, The University of Sydney, Sydney, NSW 2006, Australia.
Sensors (Basel). 2023 Oct 21;23(20):8622. doi: 10.3390/s23208622.
Hyperspectral imagers, or imaging spectrometers, are used in many remote sensing environmental studies in fields such as agriculture, forestry, geology, and hydrology. In recent years, compact hyperspectral imagers were developed using commercial-off-the-shelf components, but there are not yet any off-the-shelf data acquisition systems on the market to deploy them. The lack of a self-contained data acquisition system with navigation sensors is a challenge that needs to be overcome to successfully deploy these sensors on remote platforms such as drones and aircraft. Our work is the first successful attempt to deploy an entirely open-source system that is able to collect hyperspectral and navigation data concurrently for direct georeferencing. In this paper, we describe a low-cost, lightweight, and deployable data acquisition device for the open-source hyperspectral imager (OpenHSI). We utilised commercial-off-the-shelf hardware and open-source software to create a compact data acquisition device that can be easily transported and deployed. The device includes a microcontroller and a custom-designed PCB board to interface with ancillary sensors and a Raspberry Pi 4B/NVIDIA Jetson. We demonstrated our data acquisition system on a Matrice M600 drone at a beach in Sydney, Australia, collecting timestamped hyperspectral, navigation, and orientation data in parallel. Using the navigation and orientation data, the hyperspectral data were georeferenced. While the entire system including the pushbroom hyperspectral imager and housing weighed 735 g, it was designed to be easy to assemble and modify. This low-cost, customisable, deployable data acquisition system provides a cost-effective solution for the remote sensing of hyperspectral data for everyone.
高光谱成像仪，即成像光谱仪，被广泛应用于农业、林业、地质和水文等领域的许多遥感环境研究中。近年来，人们利用现成的商业组件开发出了紧凑型高光谱成像仪，但市场上尚未有现成的数据采集系统来部署这些成像仪。缺乏一个带有导航传感器的独立数据采集系统是一个挑战，要想在无人机和飞机等远程平台上成功部署这些传感器，就需要克服这一挑战。我们的工作是首次成功尝试部署一个完全开源的系统，该系统能够同时收集高光谱和导航数据以进行直接地理配准。在本文中，我们描述了一种用于开源高光谱成像仪（OpenHSI）的低成本、轻量级且可部署的数据采集设备。我们利用现成的商业硬件和开源软件创建了一个紧凑的数据采集设备，该设备易于运输和部署。该设备包括一个微控制器和一个定制设计的印刷电路板，用于与辅助传感器以及树莓派4B/英伟达Jetson进行接口连接。我们在澳大利亚悉尼的一个海滩上，在一架Matrice M600无人机上演示了我们的数据采集系统，并行收集带时间戳的高光谱、导航和方位数据。利用导航和方位数据，对高光谱数据进行了地理配准。虽然整个系统，包括推扫式高光谱成像仪及其外壳，重735克，但它的设计易于组装和修改。这个低成本、可定制、可部署的数据采集系统为每个人进行高光谱数据遥感提供了一个经济高效的解决方案。
