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Manifold Regularized Sparse Archetype Analysis Considering Endmember Variability
IEEE Geoscience and Remote Sensing Letters, 2023Mingming Xu 0001 +4 more
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Spectral unmixing method considering endmember variability of vegetation
National Remote Sensing Bulletin, 2023WEI Qinhua, LUO Wenfei, TANG Kaifeng
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Dark endmember in spectral feature space under variable atmosphere [PDF]
, 2005 One of the most important assumptions in most multispectral image transformation methods is that the position of the dark endmember is placed at the origin of the n-D spectral feature space regardless of the target spectral signature. A series of field experiments under varying illumination resulted that ‘shadowlines’, which hypothetically pass through
Choi, K.Y., Milton, E.J.
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A novel inequality-constrained weighted linear mixture model for endmember variability
Remote Sensing of Environment, 2021Fengting Li, Jianqing Cai
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Joint Sparse Sub-Pixel Mapping Model with Endmember Variability for Remotely Sensed Imagery
Remote Sensing, 2017Liangpei Zhang +2 more
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Proportional Perturbation Model for Hyperspectral Unmixing Accounting for Endmember Variability
IEEE Geoscience and Remote Sensing LettersWei Gao 0021, Jingyu Yang, Jie Chen 0022
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