Topological anomaly detection performance with multispectral polarimetric imagery
Topological anomaly detection performance with multispectral polarimetric imagery
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DOI：
10.1117/12.817843
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发表时间：
2009-05
期刊：
影响因子：
--
通讯作者：
M. Gartley;William F Basener
中科院分区：
文献类型：
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作者：
M. Gartley;William F Basener
偏振成像已被证明可用于增加人造目标在自然背景杂波之上的对比度。在多光谱偏振图像中手动检测人造目标可能具有挑战性，并且对于大型数据集来说是一个主观过程。利用传统的异常检测算法（例如 RX）可以改进分析人员的利用。在本文中，我们研究了一种相对较新的异常检测方法的性能，该方法利用拓扑理论应用于光谱偏振图像。将针对 RX 和拓扑异常检测 (TAD) 方法呈现嵌入复杂自然背景中的人造目标的检测结果。我们还将提供详细的结果，检查相对于以下方面的检测灵敏度：（1）光谱带的数量，（2）斯托克图像的利用与强度图像，以及（3）机载与星载测量。
Polarimetric imaging has demonstrated utility for increasing contrast of manmade targets above natural background clutter. Manual detection of manmade targets in multispectral polarimetric imagery can be challenging and a subjective process for large datasets. Analyst exploitation may be improved utilizing conventional anomaly detection algorithms such as RX. In this paper we examine the performance of a relatively new approach to anomaly detection, which leverages topology theory, applied to spectral polarimetric imagery. Detection results for manmade targets embedded in a complex natural background will be presented for both the RX and Topological Anomaly Detection (TAD) approaches. We will also present detailed results examining detection sensitivities relative to: (1) the number of spectral bands, (2) utilization of Stoke's images versus intensity images, and (3) airborne versus spaceborne measurements.