改进协同表示的高光谱图像异常检测算法

针对协同表示的高光谱图像异常检测算法中双窗口中心为异常像元同时背景字典存在同种异常像元的情况，中心像元的输出较小难以与背景区分的问题，提出一种改进协同表示的高光谱图像异常检测算法。为了减小背景字典中异常像元的权重，使用背景字典原子与均值的距离调整原子的权重，从而增大上述情况下中心像元的输出。实验结果表明，提出的算法在不同双窗口下都取得了较好的检测效果，验证了算法的有效性。

Improved collaborative representation for hyperspectral imagery anomaly detection algorithm

Aiming at the problem of hyperspectral image collaborative representation anomaly detection algorithm that the output of the central pixel is small and difficult to distinguish from the background when dual window center pixel is anomalous pixel and background dictionary contains the same kind of anomalous pixels. This paper proposed an improved collaborative representation for hyperspectral imagery anomaly detection algorithm. In order to reduce the weights of the anomalous pixels in the background dictionary, using the distance between the atom and the mean of the background dictionary to adjust the weights of the atoms, so as to increase the output of the central pixel in the above conditions. Experimental results show that the proposed algorithm achieves better detection results with different dual windows, and verifies the effectiveness of the proposed algorithm.