论文标题

基于空间成像的最新一代神经形态事件摄像机的星体校准和源表征

Astrometric Calibration and Source Characterisation of the Latest Generation Neuromorphic Event-based Cameras for Space Imaging

论文作者

Ralph, Nicholas Owen, Marcireau, Alexandre, Afshar, Saeed, Tothill, Nicholas, van Schaik, André, Cohen, Gregory

论文摘要

作为一种新兴的空间情境意识和空间成像的方法,基于事件的相机在空间成像中的实际使用仍处于精确的源分析中。需要进一步探索基于事件的空间成像和数据收集的性质,以开发更有效的基于事件的空间图像系统,并通过改进的目标测量模型提高基于事件的跟踪系统的功能。此外,要使事件测量值有意义,必须研究一个框架,以进行基于事件的摄像机校准,从图像平面中的像素阵列坐标到目标居民空间对象的参考框架中的项目事件。在本文中,对传统天文学的传统技术进行了重新考虑,以正确利用基于事件的相机进行空间成像和太空情境意识。本文介绍了用于校准基于事件的摄像机的技术和系统,以可靠,准确的测量采集。这些技术对于能够实现现实空间情境意识任务的基于事件的空间成像系统至关重要。通过使用基于事件的摄像机检测到的校准源,检测到的源或“事件源”的时空特性可能与基础天体物理对象的光度特征有关。最后,对这些特征进行了分析,以建立原则性处理和观察技术的基础,这些技术适当利用了基于事件的相机的功能。

As an emerging approach to space situational awareness and space imaging, the practical use of an event-based camera in space imaging for precise source analysis is still in its infancy. The nature of event-based space imaging and data collection needs to be further explored to develop more effective event-based space image systems and advance the capabilities of event-based tracking systems with improved target measurement models. Moreover, for event measurements to be meaningful, a framework must be investigated for event-based camera calibration to project events from pixel array coordinates in the image plane to coordinates in a target resident space object's reference frame. In this paper, the traditional techniques of conventional astronomy are reconsidered to properly utilise the event-based camera for space imaging and space situational awareness. This paper presents the techniques and systems used for calibrating an event-based camera for reliable and accurate measurement acquisition. These techniques are vital in building event-based space imaging systems capable of real-world space situational awareness tasks. By calibrating sources detected using the event-based camera, the spatio-temporal characteristics of detected sources or `event sources' can be related to the photometric characteristics of the underlying astrophysical objects. Finally, these characteristics are analysed to establish a foundation for principled processing and observing techniques which appropriately exploit the capabilities of the event-based camera.

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