光谱相机探测水体污染物可行性研究
Feasibility Study of Spectral Camera for Detecting Water Pollutants

光谱成像技术因其高准确率、高分辨率、连续性、遥感性等多方面优势，使其在农业、矿物识别、植物生态学、食品安全、医学诊断、航天等领域有着无可替代的作用，并且因其广泛的应用前景激发了众多研究者的研究兴趣。本文阐述了光谱相机的原理及遥感技术用于水质检测现状，为探究光谱相机用于探测水体污染物的可行性以及探测结果质量，设计并进行了模拟实验。采集图像分析后发现模拟的污水在绿光波段反射率最高，在红光波段和蓝光波段反射率不是特别高，相比之下红光波段的反射优于蓝光波段，同时利用灰度均值的计算结果找到了最佳观测点。此研究可作为实际中光谱相机监测水污染的一种参考。
Spectral imaging technology plays an irreplaceable role in agriculture, mineral identification, plant ecology, food safety, medical diagnosis, aerospace and other fields due to its high accuracy, high resolution, continuity, remote sensing and other advantages, and has aroused the interest of many researchers due to its wide application prospect. In this paper, the principle of spectral camera and its application in water quality detection by remote sensing technology are described, in order to study the feasibility of spectral camera in detecting water pollutants and the quality of detection results, simulation experiments are designed and carried out. After image analysis, it is found that the simulated sewage has the highest reflectance in the green light band, but not particularly high in the red and blue light bands. In contrast, the reflection in the red band is better than that in the blue band. At the same time, the best observation point is found through the calculation results of gray mean value. It can be used as a reference for monitoring water pollution by spectral camera in practice.