Low-Rank and Spectral-Spatial Sparse Unmixing for Hyperspectral Remote Sensing Imagery
Sparse unmixing is an important technique for hyperspectral data analysis. Most sparse unmixing algorithms underutilize the spatial and spectral information of the hyperspectral image, which is unfavourable for the accuracy of endmember identification and abundance estimation. We propose a new spect...
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| Format: | article |
| Language: | EN |
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Hindawi-Wiley
2021
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| Online Access: | https://doaj.org/article/9769a5f40dfe4481b37ecb06ca823295 |
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