Bi-Temporal Remote Sensing Image Fusion Via Semi-Coupled Low-Rank Tensor Approximation
Author:
Affiliation:
1. Beijing Institute of Technology,School of Information and Electronics
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9955031/9955024/09955047.pdf?arnumber=9955047
Reference10 articles.
1. Super-Resolution for Hyperspectral and Multispectral Image Fusion Accounting for Seasonal Spectral Variability
2. An Integrated Framework for the Spatio–Temporal–Spectral Fusion of Remote Sensing Images
3. Spatio-temporal fusion for daily Sentinel-2 images
4. Hyperspectral Restoration and Fusion With Multispectral Imagery via Low-Rank Tensor-Approximation
5. Fusing Hyperspectral and Multispectral Images via Coupled Sparse Tensor Factorization
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1. REAF: ROI Extraction and Adaptive Fusion for Breast Cancer Diagnosis in Ultrasound Images;2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2023-12-05
2. Integrated Spatio-Spectral–Temporal Fusion via Anisotropic Sparsity Constrained Low-Rank Tensor Approximation;IEEE Transactions on Geoscience and Remote Sensing;2023
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