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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, 2021
Fengting Li, Jianqing Cai
exaly  

Assessing the impact of endmember variability on linear Spectral Mixture Analysis (LSMA): A theoretical and simulation analysis

Remote Sensing of Environment, 2019
Yuhan Rao, Xuehong Chen, Jin Chen
exaly  

Incorporating Spatial Information and Endmember Variability Into Unmixing Analyses to Improve Abundance Estimates

IEEE Transactions on Image Processing, 2016
Arman Melkumyan, Tatsumi Uezato, Tatsumi Uezato   +2 more
exaly  

Proportional Perturbation Model for Hyperspectral Unmixing Accounting for Endmember Variability

IEEE Geoscience and Remote Sensing Letters
Wei Gao 0021, Jingyu Yang, Jie Chen 0022
openaire   +1 more source

Hyperspectral unmixing with shared endmember variability in homogeneous region

Optics and Precision Engineering
Ning WANG, Wenxing BAO, Kewen QU, Wei FENG   +3 more
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Variable Multiple Endmember Spectral Mixture Analysis for Geology Applications

2004
Klaas Scholte, Javier García-Haro, Thomas Kemper   +2 more
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