中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Massively Parallel GPU Design of Automatic Target Generation Process in Hyperspectral Imagery

文献类型:期刊论文

作者X. J. Li; B. Huang; K. Zhao
刊名Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing
出版日期2015
卷号8期号:6页码:2862-2869
通讯作者Huang, B.
中文摘要A popular algorithm for hyperspectral image interpretation is the automatic target generation process (ATGP). ATGP creates a set of targets from image data in an unsupervised fashion without prior knowledge. It can be used to search a specific target in unknown scenes and when a target's size is smaller than a single pixel. Its application has been demonstrated in many fields including geology, agriculture, and intelligence. However, the algorithm requires long time to process due to the massive amount of data. To expedite the process, the graphics processing units (GPUs) are an attractive alternative in comparison with traditional CPU architectures. In this paper, we propose a GPU-based massively parallel version of ATGP, which provides real-time performance for the first time in the literature. The HYDICE image data (307 * 307 pixels and 210 spectral bands) are used for benchmark. Our optimization efforts on the GPU-based ATGP algorithm using one NVIDIA Tesla K20 GPU with I/O transfer can achieve a speedup of 362x with respect to its single-threaded CPU counterpart. We also tested the algorithm on Airborne Visible/InfraRed Imaging Spectrometer (AVIRIS) WTC dataset (512 * 614 * 224 of 224 bands) and Cuprite dataset (35 * 350 * 188 of 188 bands), the speedup was 416x and 320x, respectively, when the target number was 15.
源URL[http://159.226.123.10/handle/131322/6506]  
专题东北地理与农业生态研究所_合作研究组
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GB/T 7714
X. J. Li,B. Huang,K. Zhao. Massively Parallel GPU Design of Automatic Target Generation Process in Hyperspectral Imagery[J]. Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2015,8(6):2862-2869.
APA X. J. Li,B. Huang,&K. Zhao.(2015).Massively Parallel GPU Design of Automatic Target Generation Process in Hyperspectral Imagery.Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing,8(6),2862-2869.
MLA X. J. Li,et al."Massively Parallel GPU Design of Automatic Target Generation Process in Hyperspectral Imagery".Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing 8.6(2015):2862-2869.

入库方式: OAI收割

来源:东北地理与农业生态研究所

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