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A New 3D Convolution Network for Hyperspectral Unmixing.

, , , , , , , , и . IGARSS, стр. 1620-1623. IEEE, (2022)

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Jinglan Wu

Recovery of citric acid from fermentation broth using simulated moving bed technology: = Reinigung von Zitronensäure aus Fermentationslösung durch kontinuierliche Chromatographie. Uni Erlangen-Nürnberg, (2009)

Yinghua Wu

Jinjin Wu

Changzhu Wu

Haiyan Wu

 

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A New 3D Convolution Network for Hyperspectral Unmixing., , , , , , , , и . IGARSS, стр. 1620-1623. IEEE, (2022)Deep Attention-Driven HSI Scene Classification Based on Inverted Dot-Product., , , , , и . IGARSS, стр. 1380-1383. IEEE, (2022)Self-Paced Probabilistic Collaborative Representation for Anomaly Detection of Hyperspectral Images., , , , , , и . IEEE Trans. Geosci. Remote. Sens., (2024)Low-Rank and Collaborative Representation for Hyperspectral Anomaly Detection., , и . IGARSS, стр. 1394-1397. IEEE, (2019)Saliency-Guided Collaborative-Competitive Representation for Hyperspectral Anomaly Detection., , , и . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2023)An Abundance-Guided Attention Network for Hyperspectral Unmixing., , , , , и . IEEE Trans. Geosci. Remote. Sens., (2024)Hyperspectral Anomaly Detection With Relaxed Collaborative Representation., , , , , , , и . IEEE Trans. Geosci. Remote. Sens., (2022)Random Subspace-Based k-Nearest Class Collaborative Representation for Hyperspectral Image Classification., , , и . IEEE Trans. Geosci. Remote. Sens., 59 (8): 6840-6853 (2021)Background-Guided Deformable Convolutional Autoencoder for Hyperspectral Anomaly Detection., , , , , , и . IEEE Trans. Geosci. Remote. Sens., (2023)Deep Unrolling Network with Active Dictionary Learning for Hyperspectral Anomaly Detection., , , , , и . WHISPERS, стр. 1-5. IEEE, (2023)