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Exploring Image Registration Techniques for Layered Sensing

机译:探索用于分层传感的图像配准技术

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In this paper we evaluate several methods to register and stabilize a motion imagery video sequence under the layered sensing construction. Layered sensing is a new construct in the repertoire of the US Air Force. Under the layered sensing paradigm, an area is surveyed by a multitude of sensors at many different altitudes and operating across many modalities. This combination of sensors provides better insight into a situation than could ever be achieved with a single sensor. A fundamental requirement to utilize this technology is to first register and stabilize the data from each of the individual sensors. The contribution of this paper is to explore and provide a preliminary evaluation of techniques for image registration of Electro-Optical (EO) video sequences taken from Wide Area Persistent Surveillance (WAPS) platforms whose views are centered on a city. Additionally, evaluation metrics for such techniques are described and explored.
机译:在本文中,我们评估了在分层传感结构下注册和稳定动态影像视频序列的几种方法。分层感测是美国空军中的一项新技术。在分层的传感范式下,一个区域由许多传感器在一个不同的高度上进行测量,并在多种模式下运行。与单个传感器相比,传感器的这种组合可以更好地了解情况。利用该技术的基本要求是首先注册并稳定来自每个单独传感器的数据。本文的目的是探索并提供一种对从广域持续监视(WAPS)平台获取的电光(EO)视频序列进行图像配准的技术的初步评估,这些平台的视点集中于城市。另外,描述和探索了这种技术的评估指标。

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