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一个适应上下文的超谱传感器和感知管理架构,用于空中异常检测

Linda Eckel¹, Peter Stütz¹

¹Institute of Flight Systems, University of the Bundeswehr Munich, 85579 Neubiberg, Germany.

Sensors (Basel, Switzerland)

|October 16, 2025

概括

空中超谱异常检测通过新的自适应处理架构 (hSPM) 得到了改进. 该系统提高了准确性和速度,克服了对各种数据集的当前方法的局限性.

科学领域:

遥感遥感遥感遥感
计算机视觉计算机视觉
信号处理信号处理

背景情况:

空载超光谱传感器捕获广泛的光谱数据,使得在目标标签未知时可以检测异常.
现实世界的应用需要强大而适应性的异常检测,但当前的研究往往使用有限的数据集.
现有的异常检测方法与复杂,动态的环境作斗争,影响可靠性.

研究的目的:

引入一个适应上下文的超谱传感器和感知管理 (hSPM) 架构.
解决复杂环境中当前异常检测方法的局限性.
为研究提供一个大规模,多样化的空中超光谱数据集.

主要方法:

开发了一个新的hSPM架构,集成传感器上下文提取,频段选择和探测器管理.
在一个新的,大规模的空载高光谱数据集 (1100多个样本,2个环境) 上评估了hSPM架构.
对最先进的异常检测技术进行比较实验.

主要成果:

与传统方法相比,hSPM架构显示出更高的检测精度和处理速度.
在不同条件下,异常检测性能提高了28-204%.
使用hSPM架构,计算时间减少了70-99%.

结论:

像hSPM这样的自适应传感器处理架构对于强大的空中超光谱异常检测至关重要.
大量的,公开可用的数据集对于推进该领域至关重要.
拟议的hSPM系统为现实应用提供了显著的精度和效率改进.

关键词:

在空中探测异常.适应环境的数据处理数据处理.超光谱成像技术的使用.感知管理架构感知管理架构传感器管理传感器管理

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