166 citations · 167 across the 4 of their papers we have counts for
6 papers
Clustered Multitask Nonnegative Matrix Factorization for Spectral Unmixing of Hyperspectral Data
Sara Khoshsokhan, Roozbeh Rajabi, Hadi Zayyani
In this paper, the new algorithm based on clustered multitask network is proposed to solve spectral unmixing problem in hyperspectral imagery. In the proposed algorithm, the cluste…
Sparsity Constrained Distributed Unmixing of Hyperspectral Data
Sara Khoshsokhan, Roozbeh Rajabi, Hadi Zayyani
Spectral unmixing (SU) is a technique to characterize mixed pixels in hyperspectral images measured by remote sensors. Most of the spectral unmixing algorithms are developed using…
Distributed Unmixing of Hyperspectral Data With Sparsity Constraint
Sara Khoshsokhan, Roozbeh Rajabi, Hadi Zayyani
Spectral unmixing (SU) is a data processing problem in hyperspectral remote sensing. The significant challenge in the SU problem is how to identify endmembers and their weights, ac…
Multilayer Structured NMF for Spectral Unmixing of Hyperspectral Images
Roozbeh Rajabi, Hassan Ghassemian
One of the challenges in hyperspectral data analysis is the presence of mixed pixels. Mixed pixels are the result of low spatial resolution of hyperspectral sensors. Spectral unmix…
Spectral Unmixing of Hyperspectral Imagery using Multilayer NMF
Roozbeh Rajabi, Hassan Ghassemian
Hyperspectral images contain mixed pixels due to low spatial resolution of hyperspectral sensors. Spectral unmixing problem refers to decomposing mixed pixels into a set of endmemb…
Unmixing of Hyperspectral Data Using Robust Statistics-based NMF
Roozbeh Rajabi, Hassan Ghassemian
Mixed pixels are presented in hyperspectral images due to low spatial resolution of hyperspectral sensors. Spectral unmixing decomposes mixed pixels spectra into endmembers spectra…