A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing

19 Aug 2019Ricardo Augusto BorsoiTales ImbiribaJosé Carlos Moreira BermudezCédric Richard

Introducing spatial prior information in hyperspectral imaging (HSI) analysis has led to an overall improvement of the performance of many HSI methods applied for denoising, classification, and unmixing. Extending such methodologies to nonlinear settings is not always straightforward, specially for unmixing problems where the consideration of spatial relationships between neighboring pixels might comprise intricate interactions between their fractional abundances and nonlinear contributions... (read more)

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