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A new hyperspectral band selection approach based on convolutional neural network., , , , , , , и . IGARSS, стр. 3660-3663. IEEE, (2017)A stepwise refinement classification method of remote sensing image based on feedback strategies., , , , , и . IGARSS, стр. 1694-1697. IEEE, (2014)Automatic remote sensing image classification method based on spectral angle and spectral distance., , , и . IGARSS, стр. 3140-3143. IEEE, (2013)Remote sensing image fusion based on sparse representation., , , и . IGARSS, стр. 2858-2861. IEEE, (2014)Application of Several Non-negative Matrix Factorization-Based Methods in Remote Sensing Image Fusion., , , и . FSKD (4), стр. 29-33. IEEE Computer Society, (2008)978-0-7695-3305-6.Performance evaluation of different references based image fusion quality metrics for quality assessment of remote sensing Image fusion., , и . IGARSS, стр. 2280-2283. IEEE, (2012)Hyperspectral Image Classification Based on Generative Adversarial Networks with Feature Fusing and Dynamic Neighborhood Voting Mechanism., , , , , , , , , и 2 other автор(ы). IGARSS, стр. 811-814. IEEE, (2019)Semi-Supervised Classification of Hyperspectral Data Based on Generative Adversarial Networks and Neighborhood Majority Voting., , , , , , , и . IGARSS, стр. 5756-5759. IEEE, (2018)Independent component analysis based band selection of multispectral remote sensing image., , , и . IGARSS, стр. 517-520. IEEE, (2014)