Multi-GPU Based Parallel Design of the Ant Colony Optimization Algorithm for Endmember Extraction from Hyperspectral Images

Multi-GPU Based Parallel Design of the Ant Colony Optimization Algorithm for Endmember Extraction from Hyperspectral Images

Spectral unmixing is a vital procedure in hyperspectral remote sensing image exploitation. The linear mixture model has been widely utilized to unmix hyperspectral images by extracting a set of pure spectral signatures, called endmembers in hyperspectral jargon, and estimating their respective fract...

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Bibliographic Details
Main Authors: Jianwei Gao, Yi Sun, Bing Zhang, Zhengchao Chen, Lianru Gao, Wenjuan Zhang
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Sensors
Subjects:
hyperspectral images
endmember extraction
multi-GPU
ant colony optimization (ACO)
parallel computing
Online Access:https://www.mdpi.com/1424-8220/19/3/598

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