25 October 2016 A new embedded solution of hyperspectral data processing platform: the embedded GPU computer
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Proceedings Volume 10156, Hyperspectral Remote Sensing Applications and Environmental Monitoring and Safety Testing Technology; 101560M (2016) https://doi.org/10.1117/12.2244966
Event: International Symposium on Optoelectronic Technology and Application 2016, 2016, Beijing, China
Abstract
During the research of hyper-spectral imaging spectrometer, how to process the huge amount of image data is a difficult problem for all researchers. The amount of image data is about the order of magnitude of several hundred megabytes per second. Traditional solution of the embedded hyper-spectral data processing platform such as DSP and FPGA has its own drawback. With the development of GPU, parallel computing on GPU is increasingly applied in large-scale data processing. In this paper, we propose a new embedded solution of hyper-spectral data processing platform which is based on the embedded GPU computer. We also give a detailed discussion of how to acquire and process hyper-spectral data in embedded GPU computer. We use C++ AMP technology to control GPU and schedule the parallel computing. Experimental results show that the speed of hyper-spectral data processing on embedded GPU computer is apparently faster than ordinary computer. Our research has significant meaning for the engineering application of hyper-spectral imaging spectrometer.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lei Zhang, Jiao Bo Gao, Yu Hu, Ke Feng Sun, Ying Hui Wang, Juan Cheng, Dan Dan Sun, Yu Li, "A new embedded solution of hyperspectral data processing platform: the embedded GPU computer", Proc. SPIE 10156, Hyperspectral Remote Sensing Applications and Environmental Monitoring and Safety Testing Technology, 101560M (25 October 2016); doi: 10.1117/12.2244966; https://doi.org/10.1117/12.2244966
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