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一种称为多光谱取样装置的实验推帚式扫描传感器正由美宇航局发展,载于八十年代中期地球轨道宇宙飞船上航行。这种传感器对地球观察的性能超出了现有的传感器系统。这种传感器在四波段15公里或二波段30公里宽的地带上将具有15米的地面分辨能力。数据率限制为每秒15兆泣,以此控制容许的扫描宽度。四个阵列每个有5个单独的滤光片,可供在轨道上用指令选用。基本的传感器在70厘米焦距(F/3.5)的望远镜焦平面上有四个2000元探测器阵列。四个阵列调在共同的焦面上,因此不需要分光器。这引起地面上的空间分离,需要用计算机处理记下频带。推帚式阵列的2.2毫秒停留时间,在0.35～1.0微米光谱范围内可使带宽窄至20毫微米。每一频段的响应将转换为9位。多光谱资源取样装置在和轨迹交叉方向上的瞄准精度为±40°;而在沿轨迹方向上的瞄准精度为±55°。在沿轨迹方向瞄准可在不同的基体/高度比率上作三维复盖,并作大气修正实验,而在和轨迹交叉方向瞄准,则可以陆地卫星轨道高度每相隔1～3天重复复盖一次。能用多光谱资源取样装置进行大量有效试验,包括农作物鉴别和现状,岩石鉴别,地球植物矿物勘探,陆地使用分类和林业等试验。
An experimental pushbroom scanning sensor, called a multispectral sampling device, is being developed by NASA and marched on Earth orbiting spacecraft in the mid-1980s. The performance of this sensor on Earth observation goes beyond existing sensor systems. The sensor will have 15 meters of ground resolution on a four-band 15 km or two-band 30 km wide zone. The data rate is limited to 15 MB per second to control the allowable scan width. Each of the four arrays has five individual filters that can be used with the command on the track. The basic sensor has four 2000-element detector arrays on the focal plane of a telescope of 70 cm focal length (F / 3.5). The four arrays are tuned to a common focal plane and therefore do not require a splitter. This caused the spatial separation on the ground, requiring computer processing to note the frequency band. The 2.2 millisecond residence time of the push-broom-type array narrows the bandwidth to 20 nanometers in the 0.35 to 1.0 micron spectral range. The response for each band will be converted to 9 bits. Aiming accuracy of the multispectral resource sampling device in the direction of the orbit crossing is ± 40 ° and in the direction of the locus is ± 55 °. Targeting in the direction of the trajectory can be used for three-dimensional coverage at different substrate / height ratios and for atmospheric correction experiments, while aiming at cross-track trajectories can be repeated once every 1 to 3 days at terrestrial satellite orbit altitude. Multispectral resource sampling devices can be used to conduct a number of effective tests, including crop identification and status quo, rock identification, earth plant mineral exploration, land use classification and forestry.