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ADVANCED BACKGROUND ESTIMATION TECHNIQUE AND CIRCUIT FOR A HYPER-SPECTRAL TARGET DETECTION METHOD

机译:超光谱目标检测方法的高级背景估计技术和电路

摘要

A system, circuit and methods for target detection from hyper-spectral image data are disclosed. Filter coefficients are determined using a modified constrained energy minimization (CEM) method. The modified CEM method can operate on a circuit operable to perform constrained linear programming optimization. A filter comprising the filter coefficients is applied to a plurality of pixels of the hyper-spectral image data to form CEM values for the pixels, and one or more target pixels are identified from the CEM values. The process may be repeated to enhance target recognition by using filter coefficients determined by excluding the identified target pixels from the hyper-spectral image data.
机译:公开了一种用于根据高光谱图像数据进行目标检测的系统,电路和方法。使用改进的约束能量最小化(CEM)方法确定滤波器系数。改进的CEM方法可以在可操作用于执行约束线性编程优化的电路上操作。将包括滤波器系数的滤波器应用于高光谱图像数据的多个像素以形成像素的CEM值,并且从CEM值中识别一个或多个目标像素。可以通过使用通过从高光谱图像数据中排除识别出的目标像素而确定的滤波器系数来重复该过程以增强目标识别。

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