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Hyperspectral Tree Species Classification of Japanese Complex Mixed Forest With the Aid of Lidar Data.

, , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 8 (5): 2177-2187 (2015)

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Detector anomaly detection and stripe correction of hyperspectral data., , and . IGARSS, page 3513-3516. IEEE, (2015)Coupled non-negative matrix factorization (CNMF) for hyperspectral and multispectral data fusion: Application to pasture classification., , and . IGARSS, page 1779-1782. IEEE, (2011)Generalized bilinear model based nonlinear unmixing using semi-nonnegative matrix factorization., , and . IGARSS, page 1365-1368. IEEE, (2012)Detection and correction of spectral and spatial misregistrations for hyperspectral data., , and . IGARSS, page 1003-1006. IEEE, (2010)A Comparative Study of Fusion-Based Change Detection Methods for Multi-Band Images with Different Spectral and Spatial Resolutions., , , and . IGARSS, page 5021-5024. IEEE, (2018)Boosting for Domain Adaptation Extreme Learning Machines for Hyperspectral Image Classification., , and . IGARSS, page 3615-3618. IEEE, (2018)Learning Convolutional Sparse Coding on Complex Domain for Interferometric Phase Restoration., , , , , and . CoRR, (2020)An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing., , , and . IEEE Trans. Image Process., 28 (4): 1923-1938 (2019)Land-cover change detection using paired OpenStreetMap data and optical high-resolution imagery via object-guided Transformer., , , , , and . CoRR, (2023)Non-Local Meets Global: An Integrated Paradigm for Hyperspectral Denoising., , , , and . CVPR, page 6868-6877. Computer Vision Foundation / IEEE, (2019)