A graph Laplacian regularization for hyperspectral data unmixing-Reference-Cited by-同舟云学术

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A graph Laplacian regularization for hyperspectral data unmixing

Published:2015-04 Issue: Volume: Page:
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Container-title:2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Ammanouil Rita,Ferrari Andre,Richard Cedric

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7158221/7177909/07178248.pdf?arnumber=7178248

Cited by 29 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Mutual Incoherence and Relative Total Variation Regularizations for Blind Hyperspectral Unmixing;IEEE Transactions on Geoscience and Remote Sensing;2024

2. Superpixel-Based Graph Laplacian Regularized and Weighted Robust Sparse Unmixing;IEEE Transactions on Geoscience and Remote Sensing;2024

3. Hyperspectral Band Selection Based on Matrix CUR Decomposition;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16

4. Spectral-spatial-sparse unmixing with superpixel-oriented graph Laplacian;International Journal of Remote Sensing;2023-04-18

5. Graph learning and denoising-based weighted sparse unmixing for hyperspectral images;International Journal of Remote Sensing;2023-01-17

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