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- W2890417668 abstract "In this paper, we propose new detectors for Change Detection between two multivariate images. The data is supposed to fol-Iowa Compound Gaussian distribution. By using Likelihood Ratio Test (LRT) and Generalised LRT (GLRT) approaches, we derive our detectors. The CFAR behaviour has been studied and the simulations show that they outperform the classic Gaussian Detector when the data is highly heterogeneous." @default.
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- W2890417668 date "2018-04-01" @default.
- W2890417668 modified "2023-10-14" @default.
- W2890417668 title "A Robust Change Detector for Highly Heterogeneous Multivariate Images" @default.
- W2890417668 doi "https://doi.org/10.1109/icassp.2018.8462253" @default.
- W2890417668 hasPublicationYear "2018" @default.
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