Anomaly Detection in Hyperspectral Imagery Based on Gaussian Mixture Model

IEEE Transactions on Geoscience and Remote Sensing(2021)

引用 27|浏览11
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摘要
Hyperspectral images (HSIs) with rich spectral information have been widely used in many fields. Anomaly detection is one of the most interesting and important applications. In this article, a novel Gaussian mixture model (GMM)-based anomaly detection (GMMD) method for HSI is proposed. The main contributions of this article are a new GMM-based extraction approach for extracting the anomaly pixels ...
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关键词
Anomaly detection,Hyperspectral imaging,Gaussian distribution,Correlation,Partitioning algorithms,Gaussian mixture model,Rivers
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