| 光谱学与光谱分析 |
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| Multi-DSP Parallel Processing Technique of Hyperspectral RX Anomaly Detection |
| GUO Wen-ji1,ZENG Xiao-ru1, ZHAO Bao-wei1, 2, MING Xing1*, ZHANG Gui-feng1, Lü Qun-bo1 |
1. Key Laboratory of Computational Optical Imaging Technology, Academy of Opto-Electronics, Chinese Academy of Sciences, Beijing 100094, China
2. Xidian University, Xi’an 710071, China |
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Abstract To satisfy the requirement of high speed, real-time and mass data storage etc. for RX anomaly detection of hyperspectral image data, the present paper proposes a solution of multi-DSP parallel processing system for hyperspectral image based on CPCI Express standard bus architecture. Hardware topological architecture of the system combines the tight coupling of four DSPs sharing data bus and memory unit with the interconnection of Link ports. On this hardware platform, by assigning parallel processing task for each DSP in consideration of the spectrum RX anomaly detection algorithm and the feature of 3D data in the spectral image, a 4DSP parallel processing technique which computes and solves the mean matrix and covariance matrix of the whole image by spatially partitioning the image is proposed. The experiment result shows that, in the case of equivalent detective effect, it can reach the time efficiency 4 times higher than single DSP process with the 4-DSP parallel processing technique of RX anomaly detection algorithm proposed by this paper, which makes a breakthrough in the constraints to the huge data image processing of DSP’s internal storage capacity, meanwhile well meeting the demands of the spectral data in real-time processing.
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Received: 2013-07-18
Accepted: 2013-11-23
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Corresponding Authors:
MING Xing
E-mail: mingxing@aoe.ac.cn
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