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Noisy Labels Detection in Hyperspectral Image via Class-Dependent Collaborative Representation., , , , и . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 12 (12): 5076-5085 (2019)Research on mud pulse signal data processing in MWD., , , и . EURASIP J. Adv. Signal Process., (2012)Study of multiple moving targets' detection in fisheye video based on the moving blob model., , , , , , , и . Multim. Tools Appl., 78 (1): 877-896 (2019)Hyperspectral Image Classification via Superpixel Spectral Metrics Representation., , , и . IEEE Signal Process. Lett., 25 (10): 1520-1524 (2018)Hyperspectral Anomaly Detection via Spatial Density Background Purification., , , , и . Remote Sensing, 11 (22): 2618 (2019)Hierarchical Structure-Based Noisy Labels Detection for Hyperspectral Image Classification., , , , , и . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2020)Convolutional Transformer-Based Few-Shot Learning for Cross-Domain Hyperspectral Image Classification., , , и . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2023)Local Semantic Feature Aggregation-Based Transformer for Hyperspectral Image Classification., , , , и . IEEE Trans. Geosci. Remote. Sens., (2022)Feature Extraction via 3-D Block Characteristics Sharing for Hyperspectral Image Classification., , , , и . IEEE Trans. Geosci. Remote. Sens., 59 (12): 10503-10518 (2021)Multi-Objective Unsupervised Band Selection Method for Hyperspectral Images Classification., , , , и . IEEE Trans. Image Process., (2023)