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Background Representation Learning With Structural Constraint for Hyperspectral Anomaly Detection.

, , , , , and . IEEE Geosci. Remote. Sens. Lett., (2022)

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Recursive Autoencoders-Based Unsupervised Feature Learning for Hyperspectral Image Classification., , , , , and . IEEE Geosci. Remote. Sens. Lett., 14 (11): 1928-1932 (2017)Cluster-Memory Augmented Deep Autoencoder via Optimal Transportation for Hyperspectral Anomaly Detection., , , , and . IEEE Trans. Geosci. Remote. Sens., (2022)Element-Wise Feature Relation Learning Network for Cross-Spectral Image Patch Matching., , , , , , , and . IEEE Trans. Neural Networks Learn. Syst., 33 (8): 3372-3386 (2022)Hyper-Laplacian Regularized Low-Rank Tensor Decomposition for Hyperspectral Anomaly Detection., , , , , and . IGARSS, page 6380-6383. IEEE, (2018)Unsupervised Outlier Detection using Memory and Contrastive Learning., , , , , and . CoRR, (2021)Multi-Relation Attention Network for Image Patch Matching., , , , , , , and . IEEE Trans. Image Process., (2021)Background Representation Learning With Structural Constraint for Hyperspectral Anomaly Detection., , , , , and . IEEE Geosci. Remote. Sens. Lett., (2022)Spatial-Spectral Graph-Based Nonlinear Embedding Dimensionality Reduction for Hyperspectral Image Classificaiton., , , , , , and . IGARSS, page 8472-8475. IEEE, (2018)AFD-Net: Aggregated Feature Difference Learning for Cross-Spectral Image Patch Matching., , , , , , and . ICCV, page 3017-3026. IEEE, (2019)Dual-Branch Residual Disentangled Adversarial Learning Network for Facial Expression Recognition., , , , and . IEEE Signal Process. Lett., (2024)