Four-dimensional ATR processing and visualization

M. Berlin
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Abstract

Contemporary automatic target recognition (ATR) technology programs require reasoning not only in space but also across time and sensor type. If contemporary scale-space techniques are also considered then up to a 5D processing regime is required. Algorithm development under such conditions will greatly benefit from advanced visualization tools. In this paper, examples of 4D processing for ATR will be given using a prototype tool developed in Java 1.2. Limitations of current tools and software for visualization of ATR applications will be addressed. Future tools to accelerate the algorithm development process will also be discussed.
四维ATR处理和可视化
现代自动目标识别(ATR)技术程序不仅需要空间推理,还需要跨越时间和传感器类型的推理。如果还考虑当代尺度空间技术,则需要高达5D处理制度。在这种情况下的算法开发将极大地受益于先进的可视化工具。本文将使用Java 1.2开发的原型工具给出ATR的4D处理实例。将讨论当前用于ATR应用可视化的工具和软件的局限性。我们还将讨论未来加速算法开发过程的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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