Anomaly detection method and device

Abstract

The invention provides an anomaly detection method and device. The method includes the steps that a hyper-spectral image to be detected is acquired, anomaly detection is carried out on the hyper-spectral image to be detected through the RX algorithm, an anomaly detection result matrix is acquired, and a weight matrix of the anomaly detection result matrix is acquired; normalization processing is carried out on the weight matrix, a normalized weight matrix of the weight matrix is acquired, the mean vector and covariance matrix of the background in the hyper-spectral image to be detected are calculated by using the normalized weight matrix, anomaly detection is carried out on the hyper-spectral image to be detected by using the mean vector and covariance matrix of the background through the RX algorithm, and anomaly detection results are acquired. According to the anomaly detection method, the mean vector and covariance matrix of the background are estimated through the weighting method, abnormal information and noise interference can be reduced, background information can be highlighted and better meet a hypothesis of the RX algorithm on the background information, and therefore detection rate is improved, and false alarm rate is reduced.

Description

technical field [0001] The invention relates to the technical field of anomaly detection, in particular to an anomaly detection method and device. Background technique [0002] Anomaly detection is a hot issue in the hyperspectral field. Anomaly targets refer to features that people are interested in. It has two characteristics. First, it has obvious spectral differences. Second, it has a low probability of appearing in the image. [0003] In the prior art, the RX algorithm is usually used to implement anomaly detection. The RX algorithm assumes that the image background obeys multivariate normal distribution, and describes the background information by calculating the mean vector and covariance matrix of the background pixel set. In the process of implementing the invention, the inventors found that the RX algorithm would introduce abnormal information and noise interference during background estimation, which could not satisfy the assumptions of the algorithm on the bac...

AI Technical Summary

Problems solved by technology

[0004] In view of this, the present invention provides an anomaly detection method to solve the problem that the RX algorithm in the prior art will introduce abnormal information and noise interference when estimating the background, which cannot satisfy the assumptions of the algorithm on the background information, resulting in high detection results. The problem of the false alarm rate, the technical solution is as follows:

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