Hyperspectral-based verses polarimetric-based anomaly detection in the LWIR

D. Rosario, J. Romano
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Abstract

We examine for the first time in the scientific community the application of hyperspectral (HS) based anomaly detection in contrast to polarimetric (POL) based anomaly detection in the longwave infrared region of the spectrum, using a challenging dataset for the test that covers three diurnal cycles. For fairness, we standardized for both sensing modalities the characterization of the unknown background clutter through a repeated trial Binomial based random sampling approach, and attained in the process two new methods for anomaly detection. The POL method outperformed the HS method, especially in the most difficult time periods, between sunset and sunrise, by an average of 0.47 augmented performance.
LWIR中基于高光谱与基于偏振的异常检测
我们首次在科学界研究了基于高光谱(HS)的异常检测与基于极化(POL)的异常检测在光谱长波红外区域的应用,使用了一个具有挑战性的数据集进行测试,该数据集涵盖了三个昼夜周期。为了公平起见,我们通过重复试验二项随机抽样方法标准化了两种感知方式对未知背景杂波的表征,并在此过程中获得了两种新的异常检测方法。POL方法的性能优于HS方法,特别是在最困难的时间段(日落和日出之间),平均增强性能为0.47。
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