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Hyperspectral Video Target Tracking Based on Deep Edge Convolution Feature and Improved Context Filter.

, , , , , , , , , и . Remote. Sens., 14 (24): 6219 (декабря 2022)

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Huixin Bao

Zhou Zhou

Zhou Zhou

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Yayun Zhou

 

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Enhancing Hyperspectral Anomaly Detection with a Novel Differential Network Approach for Precision and Robust Background Suppression., , , , , , , и . Remote. Sens., 16 (3): 434 (февраля 2024)Hyperspectral Video Target Tracking Based on Deep Edge Convolution Feature and Improved Context Filter., , , , , , , , , и . Remote. Sens., 14 (24): 6219 (декабря 2022)Hyperspectral Anomaly Detection with Harmonic Analysis and Low-Rank Decomposition., , , , и . Remote. Sens., 11 (24): 3028 (2019)Hyperspectral Anomaly Detection With Guided Autoencoder., , , и . IEEE Trans. Geosci. Remote. Sens., (2022)Infrared and Visual Image Fusion via Multi-modal Decomposition and PCNN in Gradient Domain Fusion Measure., , , , , и . ICSM, том 12015 из Lecture Notes in Computer Science, стр. 322-329. Springer, (2019)Hyperspectral Video Target Tracking Based on Deep Features with Spectral Matching Reduction and Adaptive Scale 3D Hog Features., , , , , , и . Remote. Sens., 14 (23): 5958 (декабря 2022)Multi-directional Edge Detection Algorithm Based on Fuzzy Logic Judgment., , , , , и . ICSM, том 13497 из Lecture Notes in Computer Science, стр. 92-104. Springer, (2022)Low-Rank & Sparse Matrix Decomposition and Support Vector Machine for Hyperspectral Anomaly Detection., , , , , , и . ICSM, том 12015 из Lecture Notes in Computer Science, стр. 315-321. Springer, (2019)Pixel-associated autoencoder for hyperspectral anomaly detection., , , , и . Int. J. Appl. Earth Obs. Geoinformation, (2024)Multi-Features Integration Based Hyperspectral Videos Tracker., , , и . WHISPERS, стр. 1-5. IEEE, (2021)