亚像元目标异常检测
小于一个像元的异常：人工涂层、伪装材料与低填充比目标。
基于局地背景估计的异常检测，针对小于像元的人造材料。
Sub-pixel anomaly response over mixed ground, where a target occupies part of a pixel rather than all of it.
它能发现什么
它检测什么。
| 材料 | 典型产出环境 | 可能的混淆因素 |
|---|---|---|
| Man-Made Materials & Camouflage Fabrics | Tactical terrain, infrastructure security, and border surveillance zones | Dense natural canopy shadowing and bright specular reflections |
方法
工作原理。
输入校准反射率，每个像元都对照公开参考库进行拟合。
Background covariance estimation
Local and scene-wide background covariance are computed across the contiguous channels. How well this works depends on how many distinct materials the background already contains.
Reed-Xiaoli anomaly detection
Measures how far each pixel sits from its surrounding background in spectral distance, with the false alarm rate held constant rather than the threshold.
Constrained energy minimisation
A filter that passes a chosen target signature at unit gain while suppressing everything else. It needs a signature to look for, which is the difference between this and plain anomaly detection.
Abundance and coordinates
Surviving pixels carry an estimated abundance and a location, and each export records the confidence attached to it.
技术规格
您得到什么，它在什么数据上运行。
所需环境条件
Method and checks are documented in Axine Applied Spectroscopy Technical Whitepaper · Series 6.
适用边界
Exploratory. Detection degrades as the background gets more varied and as the target fills less of a pixel.
