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Unmixing using a combined microscopic and macroscopic mixture model with distinct endmembers.

, , , and . EUSIPCO, page 1-5. IEEE, (2013)

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Subpixel target detection in hyperspectral imagery using piece-wise convex spatial-spectral unmixing, possibilistic and fuzzy clustering, and co-registered LiDAR., , , and . IGARSS, page 1063-1066. IEEE, (2013)Application of random set-based clustering to landmine detection with hyperspectral imagery., and . IGARSS, page 2022-2025. IEEE, (2007)Sparsity Promotion Models for the Choquet Integral., and . FOCI, page 454-459. IEEE, (2007)An evaluation of several fusion algorithms for anti-tank landmine detection and discrimination., , , , , and . Inf. Fusion, 13 (2): 161-174 (2012)Multi-stream continuous hidden Markov models with application to landmine detection., , and . EURASIP J. Adv. Signal Process., (2013)Generalized hidden Markov models. II. Application to handwritten word recognition., and . IEEE Trans. Fuzzy Syst., 8 (1): 82-94 (2000)Comments on "Choquet fuzzy integral-based hierarchical networks for decision analysis" and reply., , and . IEEE Trans. Fuzzy Syst., 7 (6): 767-768 (1999)Training DHMMs of mine and clutter to minimize landmine detection errors., , , and . IEEE Trans. Geosci. Remote. Sens., 41 (5): 1016-1024 (2003)Directly Measuring Material Proportions Using Hyperspectral Compressive Sensing., , and . IEEE Geosci. Remote. Sens. Lett., 9 (3): 323-327 (2012)A Large-Scale Systematic Evaluation of Algorithms Using Ground-Penetrating Radar for Landmine Detection and Discrimination., , , , and . IEEE Trans. Geosci. Remote. Sens., 45 (8): 2560-2572 (2007)