它复合了日光光谱成像技术，具有高分辨率光电传感器并带有机载处理系统能自动检测和识别目标。
It combines daytime hyperspectral imaging technology, featuring high-resolution electro-optic sensors, with an airborne processing system to automatically detect and identify targets.
当多数常规机载雷达依靠机械扫描天线收发信号的时候，有源电子扫描阵列(AESA)传感器却使用固定的孔径。
While most conventional airborne radars rely on some form of mechanically scanned antenna to transmit and receive signals, active electronically scanned array (AESA) sensors employ a fixed aperture.
采用波音公司无人机战斗管理软件，机载操作人员通过特高频卫星通信链路和地面站中继发布北约标准传感器和飞行器命令。
Using the company's UAS battle-management software, airborne operators issued NATO-standard sensor and air-vehicle commands via a UHF satellite communication link and ground-station relay.
本文主要针对该系统的机载多传感器数据融合部分进行数据的预处理研究，内容包括：时间对准、坐标对准和数据关联。
This study mainly carry on the pretreatment research of the data from airborne multi-sensor system. The content includes: time alignment, coordinate alignment and data association.
采用基于DSP和CPLD的数字化伺服控制技术解决光电传感器的机载应用问题：隔离机体的高频振动并随动于驾驶员头盔。
Digital servo-control technology based on DSP and CPLD is used to solve airborne application problems of optical-electronic sensor: isolating vibration of airplane and tracking pilot helm.
气体温度传感器通过改变电阻来测量空气温度，并将信息发送到机载计算机上。该计算机将使用这些信息和其他输入值计算燃料提供的正确数额。
Measures air temperature through changing resistance and sends this information to the onboard computer. The computer USES this and other inputs to calculate the correct amount of fuel delivered.
使用卡尔曼滤波器对机载火控雷达及其它传感器提供的数据进行处理，可以得到空对空射击火力控制需要的目标运动信息。
The target movement information which AA gunshot fire control needs can be provided by using Kalman filter to process the dada offered by on board fire control radar and other sensors.
条带噪声在许多星载、机载多传感器和单传感器光谱仪成像中是一种很普遍的现象。
Band noise is a very common phenomenon in images of many space-borne multi-sensor, airborne multi-sensor and single sensor spectrometer.
机载与地面激光扫描、地面移动测量与GPS定位等传感器的精度与速度都有了明显的提高。
Aerial photography and photogrammetry, airborne and terrestrial laser scanning, mobile mapping system and GPS positioning contrihuted to the great increase of accuracy and speed of data acquisition.
然后，在无线网络环境中实现了对微型无人飞行器机载多传感器数据实时采集与网络传输的功能。
Secondly, we realize the functions under wireless circumstance, including real-time multi-sensor data collection and network communication.
然后，在无线网络环境中实现了对微型无人飞行器机载多传感器数据实时采集与网络传输的功能。
Secondly, we realize the functions under wireless circumstance, including real-time multi-sensor data collection and network communication.
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