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NCGLF2: Network combining global and local features for fusion of multisource remote sensing data.

, , , , , and . Inf. Fusion, (April 2024)

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Spectral unmixing-based post-processing for hyperspectral image classification., , and . WHISPERS, page 1-4. IEEE, (2013)Image Segmentation Using Deep Learning: A Survey., , , , , and . CoRR, (2020)Improving the Performance of Hyperspectral Image and Signal Processing Algorithms Using Parallel, Distributed and Specialized Hardware-Based Systems., , and . J. Signal Process. Syst., 61 (3): 293-315 (2010)Parallel hyperspectral image compression using iterative error analysis on graphics processing units., and . IGARSS, page 3474-3477. IEEE, (2012)HyperMix: A new tool for quantitative evaluation of end member identification and spectral unmixing techniques., , and . IGARSS, page 1393-1396. IEEE, (2012)Spatial-spectral endmember extraction from hyperspectral imagery using multi-band morphology and volume optimization., , and . ICIP, page 3721-3724. IEEE, (2009)Analysis of Different Strategies for Incorporating Spatial Information in the Design of Endmember Extraction Algorithms from Hyperspectral Data., , and . IGARSS (4), page 877-880. IEEE, (2009)Parallel implementation of vertex component analysis for hyperspectral endmember extraction., , , , and . IGARSS, page 4078-4081. IEEE, (2012)Parallel real-time virtual dimensionality estimation for hyperspectral images., , and . J. Real-Time Image Processing, 14 (4): 753-761 (2018)Fast dimensionality reduction and classification of hyperspectral images with extreme learning machines., , , and . J. Real-Time Image Processing, 15 (3): 439-462 (2018)