Superpixel-Based Weighted Sparse Regression and Spectral Similarity Constrained for Hyperspectral Unmixing
With the support of spectral libraries, sparse unmixing techniques have gradually developed. However, some existing sparse unmixing algorithms suffer from problems, such as insufficient utilization of spatial information and sensitivity to noise. To solve these problems, this article proposes a nove...
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| Principais autores: | , , , , |
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| 格式: | Artigo |
| 语言: | Inglês |
| 出版: |
IEEE
2023-01-01
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| 丛编: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| 主题: | |
| 在线阅读: | https://ieeexplore.ieee.org/document/10192339/ |
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