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Littoral environmental reconnaissance using tactical imagery fromunmanned aircraft systems

机译:利用战术图像从曼曼德航空器系统中沿岸环境侦察

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The dynamic nature of littoral regions requires a reconnaissance approach that can rapidly quantify environmental conditions. Inadequate estimation of these conditions can have substantial impacts on the performance of Naval systems. Given that expeditionary warfare operations can occur over timescales on the order of hours, exploitation of video imagery from tactical vehicles such as Unmanned Aircraft Systems (UAS) has proved to be a reliable and adaptive solution. Tactical littoral products that can be created by exploiting UAS imagery include estimates of surf conditions, dominant wave period, wave direction, nearshore currents, and bathymetry. These vehicles can fly for durations of 1-2 hours at altitudes of less than 1000 m (beneath typical cloud cover) to obtain imagery at pixel resolutions better than 1 m. The main advantage of using imaging sensors carried by these vehicles is that the data is available in the region of operational interest where other data collection approaches would be difficult or impossible to employ. The through-the-sensor exploitation technique we have developed operates in two phases. The first step is to align individual image frames to a common reference and then georegister the alignment into a mapped image sequence. The second phase involves signal processing of pixel intensity time series (virtual sensors) to determine spatial relationships over time. Geophysical relationships, such as linear wave dispersion, can then be applied to these processed data to invert for environmental parameters such as bathymetry.
机译:沿波特地区的动态性质需要一种可以快速量化环境条件的侦察方法。这些条件的估计不足可能对海军系统的性能产生大量影响。鉴于探索性战争运作可能会在时间尺寸的时间上发生,从诸如无人驾驶飞机系统(UAS)等战术车辆的视频图像已经证明是可靠和自适应的解决方案。通过利用UAS图像可以创建的战术沿海产品包括冲浪条件,主导波周期,波方向,近岸电流和沐浴般的估计。这些车辆可以在少于1000米(典型云覆盖下方)的持续时间上为1-2小时的持续时间飞行,以获得比1米的像素分辨率的图像。使用这些车辆携带的成像传感器的主要优点是数据在操作兴趣区域中可用,其中其他数据收集方法是困难或不可能使用的。我们开发的通道开发技术以两个阶段运行。第一步是将单个图像帧对齐到公共引用,然后将对齐转向对准到映射图像序列。第二阶段涉及像素强度时间序列(虚拟传感器)的信号处理以确定随时间的空间关系。然后可以将地球物理关系(例如线性波形分散)应用于这些处理的数据,以反转诸如浴的环境参数。

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