【作者】 田宏伟； 赵慧洁；

【Author】 TIAN Hong-wei, ZHAO Hui-jie(Beijing University of Aeronautics & Astronautics, Beijing 100083, China)

【机构】 北京航空航天大学仪器科学与光电工程学院；

【摘要】 在Reed和Yu提出的RX算法的基础上,对RX算子进行了改进,提出了一种新的异常检测算子和检测到异常点后的后续处理方法。使用光谱角制图(SAM)对异常点的邻域进行了有条件的膨胀运算,以便最终得到异常目标。使用SAM方法对异常点进行了分类,对检测到的异常点进行了初步分析。利用PHI高光谱数据进行了实验。实验结果表明,该算子以及后续处理方法是有效的、实用的,在目标检测方面具有较高的应用价值。更多还原

【Abstract】 Based on RX algorithm which proposed by Reed and Yu, a new anomaly detector was proposed. And a series of measures were proposed to process the anomaly points. SAM(spectral angle mapper) was used to judge the points which next to the anomaly points on some conditions, and the eligible points were considered as parts of anomaly target, then dilating the imagery. And the dilated imagery showed the anomaly targets which was detected by the detector. At the same time, SAM was used for the anomaly point classification. The value of SAM between two anomaly points vectors was not beyond the setting threshold, and the two anomaly points were considered as the same class. The basic analysis depended on the result of the classification. The performance of the new detector is proved by the PHI data experiment.更多还原