FPGA-based Acceleration for Hyperspectral Image Analysis

摘要：

　　High resolution and dimensional hyperspectral data are required to develop high performance platforms for processing.FPGA provides a very effective approach for accelerating hyperspectral image analysis algorithms.In this paper,an FPGA-based acceleration flow for hyperspectral data processing is implemented,which considers the application scenario that the computer provides the hyperspectral images for FPGA and resorts to FPGA for algorithm acceleration and then fetches the results.Experimental results are shown to verify the feasibility of the flow.

关键词： FPGA Hyperspectral image UDP

作者: Songwei Pei Ruonan Wang Jingdong Zhang Yu Jin

作者单位: College of Information and Technology Beijing University of Chemical Technology Beijing,China

会议类型: 国际会议

会议名称: 2017 IEEE 2nd Advanced Information Technology,Electronic and Automation Control Conference(IAEAC 2017)(2017 IEEE 第2届先进信息技术、电子与自动化控制国际会议)

会议地点: 重庆

会议语种:英文

页码: 324-327

在线出版日期: 2017-03-25（万方平台首次上网日期，不代表论文的发表时间）