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Near real-time endmember extraction from remotely sensed hyperspectral data using NVidia GPUs.

, , , , и . Real-Time Image and Video Processing, том 7724 из SPIE Proceedings, стр. 772409. SPIE, (2010)

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Parallel implementation of vertex component analysis for hyperspectral endmember extraction., , , , и . IGARSS, стр. 4078-4081. IEEE, (2012)Parallel real-time virtual dimensionality estimation for hyperspectral images., , и . J. Real-Time Image Processing, 14 (4): 753-761 (2018)Analysis of Different Strategies for Incorporating Spatial Information in the Design of Endmember Extraction Algorithms from Hyperspectral Data., , и . IGARSS (4), стр. 877-880. IEEE, (2009)Parallel hyperspectral image compression using iterative error analysis on graphics processing units., и . IGARSS, стр. 3474-3477. IEEE, (2012)HyperMix: A new tool for quantitative evaluation of end member identification and spectral unmixing techniques., , и . IGARSS, стр. 1393-1396. IEEE, (2012)Spatial-spectral endmember extraction from hyperspectral imagery using multi-band morphology and volume optimization., , и . ICIP, стр. 3721-3724. IEEE, (2009)Recent Activities in the Hyperspectral Imaging Network (HYPER-I-NET): A European Consortium Fostering Imaging Spectroscopy Research., , , , и . IGARSS (5), стр. 29-32. IEEE, (2009)Endmember Extraction from Hyperspectral Imagery using a Parallel Ensemble Approach with Consensus Analysis., , , , , , и . IGARSS (5), стр. 88-91. IEEE, (2009)Nonnegative sparse autoencoder for robust endmember extraction from remotely sensed hyperspectral images., , , , и . IGARSS, стр. 205-208. IEEE, (2017)Fast dimensionality reduction and classification of hyperspectral images with extreme learning machines., , , и . J. Real-Time Image Processing, 15 (3): 439-462 (2018)