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Background Density Nonparametric Estimation With Data-Adaptive Bandwidths for the Detection of Anomalies in Multi-Hyperspectral Imagery.

, , , and . IEEE Geosci. Remote. Sens. Lett., 11 (1): 163-167 (2014)

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An anomaly detection architecture based on a data-adaptive density estimation., , , and . WHISPERS, page 1-4. IEEE, (2011)A spectral anomaly detector in hyperspectral images based on a non-Gaussian mixture model., , , , and . WHISPERS, page 1-4. IEEE, (2010)Background Density Nonparametric Estimation With Data-Adaptive Bandwidths for the Detection of Anomalies in Multi-Hyperspectral Imagery., , , and . IEEE Geosci. Remote. Sens. Lett., 11 (1): 163-167 (2014)Models and Methods for Automated Background Density Estimation in Hyperspectral Anomaly Detection., , , and . IEEE Trans. Geosci. Remote. Sens., 51 (5-1): 2837-2852 (2013)Robust hyperspectral image segmentation based on a non-Gaussian model., , , and . CIP, page 192-197. IEEE, (2010)Nonparametric Framework for Detecting Spectral Anomalies in Hyperspectral Images., , , and . IEEE Geosci. Remote. Sens. Lett., 8 (4): 666-670 (2011)A Locally Adaptive Background Density Estimator: An Evolution for RX-Based Anomaly Detectors., , , and . IEEE Geosci. Remote. Sens. Lett., 11 (1): 323-327 (2014)Remote sensing monitoring of changes potentially associated to obstacles to air navigation., and . IGARSS, page 3041-3044. IEEE, (2015)Fully Unsupervised Learning of Gaussian Mixtures for Anomaly Detection in Hyperspectral Imagery., , , and . ISDA, page 596-601. IEEE Computer Society, (2009)