Fast Endmember Extraction for Massive Hyperspectral Sensor Data on GPUs
Joint Authors
Wu, Zebin
Ye, Shun
Sun, Le
Liu, Jianjun
Wei, Zhihui
Wei, Jie
Source
International Journal of Distributed Sensor Networks
Issue
Vol. 2013, Issue - (31 Dec. 2013), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-10-10
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Telecommunications Engineering
Information Technology and Computer Science
Abstract EN
Hyperspectral imaging sensor becomes increasingly important in multisensor collaborative observation.
The spectral mixture problem seriously influences the efficiency of hyperspectral data exploitation, and endmember extraction is one of the key issues.
Due to the high computational cost of algorithm and massive quantity of the hyperspectral sensor data, high-performance computing is extremely demanded for those scenarios requiring real-time response.
A method of parallel optimization for the well-known N-FINDR algorithm on graphics processing units (NFINDR-GPU) is proposed to realize fast endmember extraction for massive hyperspectral sensor data in this paper.
The implements of the proposed method are described and evaluated using compute unified device architecture (CUDA) based on NVIDA Quadra 600 and Telsa C2050.
Experimental results show the effectiveness of NFINDR-GPU.
The parallel algorithm is stable for different image sizes, and the average speedup is over thirty times on Telsa C2050, which satisfies the real-time processing requirements.
American Psychological Association (APA)
Wu, Zebin& Ye, Shun& Wei, Jie& Wei, Zhihui& Sun, Le& Liu, Jianjun. 2013. Fast Endmember Extraction for Massive Hyperspectral Sensor Data on GPUs. International Journal of Distributed Sensor Networks،Vol. 2013, no. -, pp.1-7.
https://search.emarefa.net/detail/BIM-455370
Modern Language Association (MLA)
Wu, Zebin…[et al.]. Fast Endmember Extraction for Massive Hyperspectral Sensor Data on GPUs. International Journal of Distributed Sensor Networks Vol. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-455370
American Medical Association (AMA)
Wu, Zebin& Ye, Shun& Wei, Jie& Wei, Zhihui& Sun, Le& Liu, Jianjun. Fast Endmember Extraction for Massive Hyperspectral Sensor Data on GPUs. International Journal of Distributed Sensor Networks. 2013. Vol. 2013, no. -, pp.1-7.
https://search.emarefa.net/detail/BIM-455370
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-455370