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Unsupervised Feature Learning by Autoencoder and Prototypical Contrastive Learning for Hyperspectral Classification.

, , и . CoRR, (2020)

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Zhao Zhao

Yanning Zhao

Hertz-level ultra-stable laser and its application to high precision spectroscopy. Uni Erlangen-Nürnberg, (2009)

Li Zhao

Xiaojian Zhao

Ruoyao Zhao

 

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Fast implementation of kernel simplex volume analysis based on modified Cholesky factorization for endmember extraction., , , и . Frontiers Inf. Technol. Electron. Eng., 17 (3): 250-257 (2016)基于逐像素递归处理的高光谱实时亚像元目标检测 (Real-time Sub-pixel Object Detection for Hyperspectral Image Based on Pixel-by-pixel Processing)., , и . 计算机科学, 45 (6): 259-264 (2018)Recursive Local Summation of RX Detection for Hyperspectral Image Using Sliding Windows., , , и . Remote. Sens., 10 (1): 103 (2018)A novel Bayesian lasso model based on spatial-correlated sparsity for semisupervised hyperspectral unmixing., , , и . IGARSS, стр. 5434-5437. IEEE, (2017)Novel Design of Decision-Tree-Based Support Vector Machines Multi-class Classifier., , и . ICIC (2), том 4682 из Lecture Notes in Computer Science, стр. 871-880. Springer, (2007)Kernel-OPBS Algorithm: A Nonlinear Feature Selection Method for Hyperspectral Imagery., , , , и . IEEE Geosci. Remote. Sens. Lett., 17 (3): 464-468 (2020)Unsupervised Feature Learning by Autoencoder and Prototypical Contrastive Learning for Hyperspectral Classification., , и . CoRR, (2020)Normalizing Flow-Based Probability Distribution Representation Detector for Hyperspectral Anomaly Detection., , , и . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2022)Hyperspectral Anomaly Detection via MERA Decomposition and Enhanced Total Variation Regularization., , , и . IEEE Trans. Geosci. Remote. Sens., (2024)Dual Branch Autoencoder Network for Spectral-Spatial Hyperspectral Unmixing., , , и . IEEE Geosci. Remote. Sens. Lett., (2022)