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DEVELOPMENT OF HYPERSPECTRAL IMAGING SENSOR, WHICH MOUNTED ON UAV FOR ENVIRONMENTAL STUDY AT COASTAL ZONE

机译:高光谱成像传感器的开发,沿海地区UAV安装在UAV上

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Seagrass and seaweed beds are very important for fish's growth, but the beds are sensitive to environmental changes and human activities. Coastal zone monitoring is necessary for the conservation of seagrass and seaweed beds. Satellite data are used for the coastal zone monitoring. There are large atmospheric effects at the satellite data, and low altitude observations using UAV have the benefits of small atmospheric effects. Hyperspectral image data are powerful tools for determination of seagrass and seaweed species, and we want to develop a hyperspectral imaging sensor on UAV for the environmental study of coastal zone. In our previous studies, a hyperspectral array sensor system for an unmanned radio-controlled helicopter was developed. The specifications of the hyperspectral sensor were 400-1000 nm spectral range, 121 bands, 5 nm spectral resolution, and 11 kg weight. This system is too heavy for ordinary UAV and very expensive system. The hyperspectral imaging sensor on UAV has to be compact, lightweight and low cost. Last year, at the 34th ACRS, we presented the measurement system, and it could observe only nadir and the observed data were on flight line. Now we are making the prototype of hyperspectral image sensor, which can get area data using swing mirror. The spectral data of target ground or sea-surface are gathered at one side of glass fibers bundle. At the other side of glass fibers bundle, the spectral data are sequentially given to seven glass fibres by the swing mirror. The swing mirror is controled by a stepping motor and the swing speed of the mirror are variable. Eight Mini-Spectrometers manufactured by Hamamatsu Photonics are prepared. Each Mini-Spectrometer is connected one glass fibre. One Mini-Spectrometer is used for sky light monitoring and sevmeters are used for spectral data of target earth surface. The total weight of the the prototype of hyperspectral image sensor is about 5 kg. The system loaded to unmanned airplane in this summer and we got early phase results.
机译:海草和海藻床对鱼类的增长非常重要,但床对环境变化和人类活动很敏感。沿海地区监测对于保护海草和海藻床的保护是必要的。卫星数据用于沿海区域监控。卫星数据存在大的大气效果,使用无人机的低海拔观测具有小型大气效应的好处。高光谱图像数据是用于确定海草和海藻物种的强大工具,我们希望在UAV开发一个高光谱成像传感器,用于沿海地区的环境研究。在我们以前的研究中,开发了一种用于无人机无线电控制直升机的高光谱阵列传感器系统。高光谱传感器的规格为400-1000nm光谱范围,121条带,5nm光谱分辨率和11kg重量。这种系统对于普通的无人机和非常昂贵的系统来说太重了。 UAV上的高光谱成像传感器必须紧凑,重量轻,成本低。去年,在34世纪,我们提出了测量系统,它可能只观察Nadir,观察到的数据在飞行线上。现在我们正在制作高光谱图像传感器的原型,可以使用摆动镜获得区域数据。目标接地或海表面的光谱数据聚集在玻璃纤维束的一侧。在玻璃纤维束的另一侧,通过摆动镜依次向七个玻璃纤维依次释放到七个玻璃纤维。通过步进电机控制摆动镜,镜子的摆动速度是可变的。制备了Hamamatsu Photonics制造的八个迷你光谱仪。每个迷你光谱仪连接一个玻璃纤维。一个迷你光谱仪用于天空光监测,8米用于目标地球表面的光谱数据。高光谱图像传感器的原型的总重量约为5千克。该系统在今年夏天加载到无人机飞机,我们得到了早期的结果。

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