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一个可定制的数据采集系统,用于开源的高光谱成像.

Yiwei Mao1,2, Christopher H Betters1,2, Samuel Garske2

  • 1School of Physics, The University of Sydney, Sydney, NSW 2006, Australia.

Sensors (Basel, Switzerland)
|October 28, 2023
PubMed
概括
此摘要是机器生成的。

研究人员开发了一个开源的超光谱成像器数据采集系统,使得可以同时收集超光谱和导航数据,以便在无人机上直接地缘引用.

关键词:
数据采集数据采集超光谱成像技术的使用.这是一个开源的开源软件.远程传感是一种遥感技术.

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科学领域:

  • 遥感 遥感 遥感 遥感
  • 环境监测 环境监测
  • 地理空间技术是什么

背景情况:

  • 超光谱成像仪对于各种学科的环境研究至关重要.
  • 对于小型超光谱成像仪的独立,现成的数据采集系统市场存在差距.
  • 在无人机等平台上部署超频谱传感器需要集成的导航功能.

研究的目的:

  • 开发和演示一个低成本,轻量级,可部署的开源数据采集系统,用于超光谱成像仪.
  • 为了实现同时收集超频谱,导航和定位数据,用于直接的地理参考.
  • 为遥感应用提供具有成本效益和可访问性的解决方案.

主要方法:

  • 使用商用现成硬件和开源软件.
  • 设计了一个紧的数据采集设备,配有微控制器,定制PCB和Raspberry Pi/NVIDIA Jetson.
  • 集成辅助导航传感器用于时间标记数据收集.
  • 在Matrice M600无人机上演示了该系统,收集并行数据流.

主要成果:

  • 成功部署了一个完全开源的系统,用于同时收集超频谱和导航数据.
  • 通过使用收集的导航和定位信息,实现了超频谱数据的直接地理引用.
  • 整个系统,包括成像仪和外,重量只有735克.
  • 该系统被证明很容易组装,修改和部署.

结论:

  • 开发的系统为超频谱数据采集提供了具有成本效益和可定制的解决方案.
  • 这种开源方法使先进的远程传感能力的访问得到了民主化.
  • 该系统促进了直接的地理参考,提高了环境研究中超频谱数据的实用性.