一种基于高斯马尔可夫随机场的异常目标探测方法An anomaly detection method based on gauss markov random field
杜博,陈勇,史瑞芝
摘要(Abstract)：
利用高斯马尔可夫随机场模型描述像元的邻域相关性信息,并将这种邻域信息引入到局域异常探测器中,提出了一种顾及邻域信息的高光谱遥感影像局域异常目标探测算法。实验证明,该方法克服了传统异常探测方法仅仅利用光谱信息的不足,比经典的RX算法的探测效果更好,并且可以更有效地探测出大于一个像元的异常目标。
关键词(KeyWords)： 高斯马尔可夫随机场;异常探测;RX算法
基金项目(Foundation):
作者(Author): 杜博,陈勇,史瑞芝
DOI: 10.16251/j.cnki.1009-2307.2010.06.090
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