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Fusarium Wilt Inspection for Phalaenopsis Using Uniform Interval Hyperspectral Band Selection Techniques.

, , , , , , , , , and . IGARSS, page 2831-2834. IEEE, (2020)

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PPI-SVM-Iterative FLDA Approach to Unsupervised Multispectral Image Classification., , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 6 (4): 1834-1842 (2013)A Supervised Hybrid Classifier for Brain Tissues and White Matter Lesions on Multispectral MRI., , , , , , and . ISPAN-FCST-ISCC, page 375-379. IEEE Computer Society, (2017)Brain Tissue Classification Using Independent Vector Analysis (IVA) for Magnetic Resonance Image., , , , , , , , and . BIBE, page 324-329. IEEE Computer Society, (2009)Quality Inspection of Phalaenopsis Hybrids Using Hyperspectral Band Selection Techniques., , , , , , , , , and 1 other author(s). IGARSS, page 2201-2204. IEEE, (2019)Weighted Radial Basis Function Kernel-Based Support Vector Machines for Multispectral Magnetic Resonance Brain Image Classification., , , , , , , , and . ICS, volume 274 of Frontiers in Artificial Intelligence and Applications, page 1970-1982. IOS Press, (2014)Progressive Band Processing of Linear Spectral Unmixing for Hyperspectral Imagery., , , , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 8 (6): 2583-2597 (2015)Non-invasive Assessment of Psoriasis from Snapshot Hyperspectral Imaging., , , and . SMC, page 1300-1304. IEEE, (2018)Detection of Fusarium Wilt on Phalaenopsis Stem Base Region Using Band Selection Techniques., , , , , , , , and . IGARSS, page 2777-2780. IEEE, (2018)Feature Selection for Multispectral Brain Image Segmentation in Magnetic Resonance Imaging., , , , , and . ICS, volume 274 of Frontiers in Artificial Intelligence and Applications, page 2037-2043. IOS Press, (2014)Fully abundance-constrained endmember finding for hyperspectral images., , , , , and . WHISPERS, page 1-4. IEEE, (2015)