一种新的校正方法来提高低成本高光谱便携式快照相机的性能
Andrea Genangeli1, Giovanni Avola2, Marco Bindi1
1Department of Agriculture, Food, Environment and Forestry (DAGRI), University of Florence, P. le delle Cascine 18, 50144 Florence, Italy.
Sensors (Basel, Switzerland)
|December 23, 2023
概括
这项研究提出了一种新的方法来提高低成本便携式高光谱摄像机的数据质量. 开发的管道显著减少了光谱跳跃和噪声,增强了环境和农业应用的超光谱数据.
科学领域:
- 遥感 遥感 遥感 遥感
- 频谱学是一种光谱学.
- 环境监测 环境监测
背景情况:
- 频谱传感器 (SSs) 在农业和环境监测方面提供了机会.
- 低成本的便携式超光谱摄像头 (PHC) 面临着诸如光谱不连续性和噪声等挑战.
- 超光谱 (HS) 技术的采用受到成本和数据处理复杂性的限制.
研究的目的:
- 开发一种通用方法来提高PHC的高光谱数据质量.
- 分析和纠正PHC输出的光谱不连续性和噪声.
- 评估开发的校正管道的有效性.
主要方法:
- 在特定波长 (513,650,930 nm) 附近的光谱特征中识别信号间隙 (跌落和跳跃).
- 分析暗电流信号大小和随着时间的推移与仪器噪声相关的变化.
- 开发和测试对超频谱数据的数据校正管道.
主要成果:
- 辐射信号跳跃的显著减少:在650nm时99%,在830nm时74%.
- 仪器噪声对获取信号的影响量化在10%至15%之间.
- 开发的方法有效地解决了光谱不连续性和噪声问题.
结论:
- 开发的方法成功地提高了Senop HSC-2 PHC的高光谱输出.
- 这种方法提供了一种可行的解决方案,用于提高低成本超频谱摄像机的数据质量.
- 该方法适用于其他低成本的高光谱设备,扩大其实用性.
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