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Mapping Layers of Clay in a Vertical Geological Surface Using Hyperspectral Imagery: Variability in Parameters of SWIR Absorption Features under Different Conditions of Illumination.

, , and . Remote Sensing, 6 (9): 9104-9129 (2014)

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Embedded feature selection of hyperspectral bands with boosted decision trees., and . IGARSS, page 2361-2364. IEEE, (2011)A Tutorial on Modeling and Inference in Undirected Graphical Models for Hyperspectral Image Analysis., and . CoRR, (2018)Comparing inference methods for conditional random fields for hyperspectral image classification., , and . WHISPERS, page 1-4. IEEE, (2015)Multitask learning of vegetation biochemistry from hyperspectral data., and . WHISPERS, page 1-5. IEEE, (2016)Automatic rock recognition from drilling performance data., , , , , , and . ICRA, page 3407-3412. IEEE, (2012)Conditional Random Fields for Rock Characterization Using Drill Measurements., , and . ICMLA, page 366-371. IEEE Computer Society, (2009)Vehicle detection from aerial color imagery and airborne LiDAR data., , and . IGARSS, page 1384-1387. IEEE, (2016)Feature selection with PSO and kernel methods for hyperspectral classification., and . IEEE Congress on Evolutionary Computation, page 1762-1769. IEEE, (2011)Spectral angle based unary energy functions for spatial-spectral hyperspectral classification using Markov random fields., and . WHISPERS, page 1-6. IEEE, (2016)A collective AI via lifelong learning and sharing at the edge., , , , , , , , , and 20 other author(s). Nat. Mac. Intell., 6 (3): 251-264 (2024)