1 citations · 1 across the 4 of their papers we have counts for
5 papers
Spectral Unmixing of Hyperspectral Images Based on Block Sparse Structure
Seyed Hossein Mosavi Azarang, Roozbeh Rajabi, Hadi Zayyani +1
Spectral unmixing (SU) of hyperspectral images (HSIs) is one of the important areas in remote sensing (RS) that needs to be carefully addressed in different RS applications. Despit…
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…
Hyperspectral Unmixing Based on Clustered Multitask Networks
Sara Khoshsokhan, Roozbeh Rajabi, Hadi Zayyani
Hyperspectral remote sensing is a prominent research topic in data processing. Most of the spectral unmixing algorithms are developed by adopting the linear mixing models. Nonnegat…
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…