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Automatic Target Recognition Within Anomalous Regions of Interest in Hyperspectral Images.

, , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 11 (4): 1056-1069 (2018)

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Adaptive target detection in hyperspectral imaging from two sets of training samples with different means., , and . Signal Process., (2021)Local approach to orthogonal subspace-based target detection in hyperspectral images., , , and . WHISPERS, page 1-4. IEEE, (2009)A spectral anomaly detector in hyperspectral images based on a non-Gaussian mixture model., , , , and . WHISPERS, page 1-4. IEEE, (2010)Fluorescence LIDAR system modeling for underwater object recognition performance evaluation., , , and . IGARSS, page 4943-4946. IEEE, (2015)POSEIDON: An Analytical End-to-End Performance Prediction Model for Submerged Object Detection and Recognition by Lidar Fluorosensors in the Marine Environment., , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 10 (11): 5110-5133 (2017)Automatic Target Recognition Within Anomalous Regions of Interest in Hyperspectral Images., , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 11 (4): 1056-1069 (2018)Closed-Form Nonparametric GLRT Detector for Subpixel Targets in Hyperspectral Images., , and . IEEE Trans. Aerosp. Electron. Syst., 56 (2): 1568-1581 (2020)Improving Physical and Statistical Models for Detecting Difficult Targets with LRT Detectors in Closed-Form., , and . IGARSS, page 3959-3962. IEEE, (2020)Closed-Form Non-Parametric Admissible Detector for Solid Sub-Pixel Targets., and . IGARSS, page 2274-2277. IEEE, (2023)Robust hyperspectral image segmentation based on a non-Gaussian model., , , and . CIP, page 192-197. IEEE, (2010)