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Kernel-based Linear Spectral Mixture Analysis for hyperspectral image classification.

, , and . WHISPERS, page 1-4. IEEE, (2009)

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A band prioritization method based on kernel weights for progressive band umixning of hyperspectral imagery., and . WHISPERS, page 1-4. IEEE, (2015)Hybrid Deep Learning Models with Sparse Enhancement Technique for Detection of Newly Grown Tree Leaves., , , , and . Sensors, 21 (6): 2077 (2021)Changing Background to Foreground: An Augmentation Method Based on Conditional Generative Network for Stingray Detection., , , and . ICIP, page 2740-2744. IEEE, (2018)Detection of The Erosion Area of Lotus Leaf Using Hyperspectral Imaging., , , , and . ICS, page 387-391. IEEE, (2020)Sequential band selection method based on group orthogonal matching pursuit., , , and . WHISPERS, page 1-4. IEEE, (2016)Kernel-based Linear Spectral Mixture Analysis for hyperspectral image classification., , and . WHISPERS, page 1-4. IEEE, (2009)Progressive Band Selection of Spectral Unmixing for Hyperspectral Imagery., and . IEEE Trans. Geosci. Remote. Sens., 52 (4): 2002-2017 (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)A Band Subset Selection Approach Based on Sparse Self-Representation and Band Grouping for Hyperspectral Image Classification., , and . Remote. Sens., 14 (22): 5686 (2022)Unsupervised Band Selection Based on Group-Based Sparse Representation., , and . ACCV Workshops (1), volume 10116 of Lecture Notes in Computer Science, page 389-401. Springer, (2016)