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Unsupervised Nonlinear Spectral Unmixing based on a Multilinear Mixing Model
In the community of remote sensing, nonlinear mixing models have recently received particular attention in hyperspectral image processing.
Multi-Band Image Fusion Based on Spectral Unmixing
The non-negativity and sum-to-one constraints resulting from the intrinsic physical properties of the abundances are introduced as prior information to regularize this ill-posed problem.
A Diffusion Process on Riemannian Manifold for Visual Tracking
In this paper, we model the target using a covariance descriptor, as this descriptor is robust to problems such as pixel-pixel misalignment, pose and illumination changes, that commonly occur in visual tracking.
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