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Title

Supervised Fully Constrained Linear Spectral Unmixing using Evolutionary Strategy

Year: 1392
COI: ICEE21_724
Language: EnglishView: 892
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Authors

Hossein Fayyazi - Malek-Ashtar University of Technology
Hamid Dehghani - Malek-Ashtar University of Technology
Mojtaba Hosseini - Amirkabir University of Technology

Abstract:

Spectral Unmixing algorithms use two linear and non-linear mixing models to determine the relative abundances of the materials in a remotely sensed image. Hyperspectralimages are often treated as a Linear Mixture Model (LMM), where the image pixels are described by a linear combinationof the spectra of pure materials. In LMM, the abundances are non-negative and sum of them must be one. Linear Unmixing with these two constraints which termed as Fully Constraint Linear Spectral Unmixing (FCLSU) leads to some inequalities that are difficult to carry out. FCLSU can be considered as aconstrained optimization problem and Evolutionary Computation (EC) techniques are good problem solving toolsfor it. In this paper, we use Evolutionary Strategy (ES) to solveFCLSU with the assumption that the pure materials are known. The abundances estimated by ES are converted to a hyperspherical coordinate system to cope with the constraints. The results are compared based on different spectral similarity measures both on simulated and real data

Keywords:

hyperspectral images , Fully Constraints Linear Spectral Unmixing , Evolutionary Strategy

Paper COI Code

This Paper COI Code is ICEE21_724. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/208781/

How to Cite to This Paper:

If you want to refer to this Paper in your research work, you can simply use the following phrase in the resources section:
Fayyazi, Hossein and Dehghani, Hamid and Hosseini, Mojtaba,1392,Supervised Fully Constrained Linear Spectral Unmixing using Evolutionary Strategy,21th Iranian Conference on Electric Engineering,Mashhad,https://civilica.com/doc/208781

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Type of center: دانشگاه دولتی
Paper count: 9,763
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