Pure endmember extraction using robust kernel archetypoid analysis for hyperspectral imagery
Sign Up to like & getrecommendations! Published in 2017 at "Isprs Journal of Photogrammetry and Remote Sensing"
DOI: 10.1016/j.isprsjprs.2017.08.001
Abstract: Abstract A robust kernel archetypoid analysis (RKADA) method is proposed to extract pure endmembers from hyperspectral imagery (HSI). The RKADA assumes that each pixel is a sparse linear mixture of all endmembers and each endmember… read more here.
Keywords: analysis; robust kernel; endmember extraction; pure endmember ... See more keywords
An Iterative Robust Kernel-Based Regression Method for Simultaneous Single Image Super-Resolution and Denoising
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2926330
Abstract: In this paper, we present a uniform mathematical framework based on a robust kernel-based regression for the task of simultaneous single-image super-resolution and denoising. The given model is formulated as a convex $\ell _{1}$ sparse… read more here.
Keywords: kernel based; resolution; based regression; robust kernel ... See more keywords
Exactly Robust Kernel Principal Component Analysis
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2019.2909686
Abstract: Robust principal component analysis (RPCA) can recover low-rank matrices when they are corrupted by sparse noises. In practice, many matrices are, however, of high rank and, hence, cannot be recovered by RPCA. We propose a… read more here.
Keywords: component analysis; robust kernel; kernel principal; principal component ... See more keywords
Robust Kernel Clustering Algorithm for Nonlinear System Identification
Sign Up to like & getrecommendations! Published in 2017 at "Mathematical Problems in Engineering"
DOI: 10.1155/2017/2427309
Abstract: In engineering field, it is necessary to know the model of the real nonlinear systems to ensure its control and supervision; in this context, fuzzy modeling and especially the Takagi-Sugeno fuzzy model has drawn the… read more here.
Keywords: fuzzy; clustering algorithm; robust kernel; takagi sugeno ... See more keywords