期刊文献+

星载高光谱图像实时处理系统 被引量:1

Spaceborne Hyperspectral Image Processing System Research
在线阅读 下载PDF
导出
摘要 为适应星载高光谱成像仪输出数据率越来越高的需求,设计了一种基于模块化的、软硬件结合的高光谱图像实时处理系统。该系统由一个主控模块(MM)和若干个实时高光谱图像处理子模块(SM)组成,对软硬件处理流程进行了合理划分。在充分考虑系统所需选用的DSP和FPGA芯片下,给出了主控模块与子模块的设计方法及原理框图。该系统可等效为一个二维网孔型并行模型,具有很高的并行性和加速比,具有实现实时高光谱图像处理的能力。并且该系统具有很强的适应能力,可满足不同星载高光谱成像仪的需求。 In order to meet the increasingly high demand of spaceborne hyperspectral imager output data rate,the hyperspectral image real-time processing system based on modular,combination of hardware and software is designed. The system consists of a main control module (MM) and a plurality of real-time hyperspectral image processing module (SM), and the hardware and software processes are reasonably divided. By fully considering the system required the selection of DSP and FPGA chips,the main control module and the module design method and the principle can be equivalent to a two-dimensional mesh parallel model,has high parallelism and speedup,has realized the real time image processing ability. And the system has strong adaptability, can meet the needs of different snaeehnrne hyperspectral imager demand.
出处 《火力与指挥控制》 CSCD 北大核心 2016年第1期22-27,共6页 Fire Control & Command Control
基金 国家自然科学基金资助项目(61101116)
关键词 高光谱图像 实时处理 模块化 并行性 加速比 hyperspectral imager, real-time processing, modular, parallelism, speedup
  • 相关文献

参考文献5

二级参考文献12

  • 1袁俊泉,皇甫堪.基于DSP与FPGA的实时数字信号处理系统设计[J].系统工程与电子技术,2004,26(11):1561-1563. 被引量:18
  • 2Culler D E.并行计算机体系结构:硬件/软件结合的设计与分析[M].李晓明,译.北京:机械工业出版社,2002.
  • 3Analog Device Inc..ADSP-TS201 TigerSHARC Processor Hardware Reference[Z].2004-11.
  • 4Xilinx Inc..Virtex Ⅱ Pro Platform FPGA User Guide[Z].2004-02.
  • 5Shaw G A,Burke H K. Spectral imaging for reinot(' sensing[J]. Lincoln Laboratory Journal,2003,14( 1):3-28.
  • 6Yu X,Hoff L E,Reed I S,H al. Automatic target detectionand recognition in multiband imagery:A unified ML detec-tion and estimation approach[ J ]. IEEE Transactions on Im-age Processing’1997,6:143 - 156.
  • 7Shweizer S M, Moura J M F. Hyperspectral imagery :Clutteradaptation in anomaly detection [ J ]. IEEE Transactions onInformation Theory ,2000,46(5) : 1855 - 1871.
  • 8Du B,Zhang L P, Li P X, et al. A Target Detection Algo-rithm for urban areas using HSHH imagery[C]//Urhan Re-mote Sensing Joint Event, shanghai,2009: 1 -5.
  • 9Harsanyi J C,Chang C I. Hyperspectral image classificationand dimensionality reduction : An orthogonal suhspace pro-jection approa(*h[J]. IEEE Transactions on (Geoscience andRemote Sensing,1994,32(4) :779 -785.
  • 10赵春晖,李杰,梅锋.核加权RX高光谱图像异常检测算法[J].红外与毫米波学报,2010,29(5):378-382. 被引量:27

共引文献15

同被引文献8

引证文献1

二级引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部