Abstract
This article continues studies of probability anomaly detector method which was presented in author’s previous works. Here two implementations of this method are introduced. The implementations are based on different vector quantization algorithms. Description of both algorithms and results of experimental research of their parameters are provided. Both implementations are compared with well known RX anomaly detector on synthetic hyperspectral images.
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Acknowledgements
This work was financially supported by the Russian Science Foundation (RSF), grant no. 14-31-00014 Establishment of a Laboratory of Advanced Technology for Earth Remote Sensing.
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Denisova, A. (2017). Two Implementations of Probability Anomaly Detector Based on Different Vector Quantization Algorithms. In: Ignatov, D., et al. Analysis of Images, Social Networks and Texts. AIST 2016. Communications in Computer and Information Science, vol 661. Springer, Cham. https://doi.org/10.1007/978-3-319-52920-2_25
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DOI: https://doi.org/10.1007/978-3-319-52920-2_25
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