Title
GPU implementation of Ant Colony Optimization algorithm for endmember extraction from hyperspectral image
Abstract
Endmember extraction is an important procedure in spectral unmixing of hyperspectral images. A swarm intelligence algorithm named Ant Colony Optimization (ACO) was recently introduced for endmember extraction from hyperspectral images. Through theoretic and experimental analysis, this new algorithm can be utilized in various situations and can get the optimum endmembers. However, considering the high computational amount, the ACO Endmember Extraction algorithm (ACOEE) based on the random search is time-consuming for hyperspectral image analysis. In recent years, high-performance computing based on the Graphics Processing Unit (GPU) has been increasingly applied in hyperspectral image processing. In this paper, we propose a new parallel implementation of the ACOEE based on the GPU. The algorithm is implemented using the Compute Device Unified Architecture (CUDA), and tested on the NVidia Quadro 5000 architecture. The results show that the computational performance of ACOEE based on GPU has significantly improved in the analysis of real hyperspectral data.
Year
DOI
Venue
2012
10.1109/WHISPERS.2012.6874319
WHISPERS
Keywords
DocType
ISSN
feature extraction,geophysical image processing,graphics processing units,optimisation,parallel architectures,swarm intelligence,aco endmember extraction algorithm,acoee,cuda,gpu,gpu implementation,nvidia quadro 5000 architecture,ant colony optimization algorithm,compute device unified architecture,graphics processing unit,high-performance computing,hyperspectral data,hyperspectral image analysis,spectral unmixing,swarm intelligence algorithm,ant colony optimization,endmember extraction,graphics processing unit (gpu),hyperspectral image,hyperspectral imaging,high performance computing,instruction sets,algorithm design and analysis
Conference
2158-6268
ISBN
Citations 
PageRank 
978-1-4799-3405-8
2
0.36
References 
Authors
6
5
Name
Order
Citations
PageRank
Jianwei Gao1112.53
Lianru Gao237359.90
Xu Sun33710.14
Yuanfeng Wu4205.61
Bing Zhang542274.10