期刊文献+

基于动态规划的红外弱小目标检测算法的硬件实现 被引量:1

Hardware Implementation of Infrared Weak and Small Target Detection Algorithm Based on Dynamic Programming
下载PDF
导出
摘要 提出基于动态规划的红外弱小目标检测算法的硬件实现方法,分析基于动态规划的能量累加原理,阐述了目标识别的过程,分析图像处理所需要的硬件资源,建立FPAG+DSP硬件处理平台,验证了算法的实时性和可靠性。文中提出的方法解决了大多数算法无法满足实时性要求的问题,为红外弱小目标的检测提供了一个新的思路。 The hardware implementation method of the infrared weak and small target detection algorithm based on dynamic programming is proposed.Energy cumulative principle based on dynamic programming is analyzed.The target distinguishing process is explained.The hardware resource for image processing is analyzed.A FPGA+DSP hardware process platform is established and the real-time and reliability of the algorithm are validated.The proposed method can figure out the real-time problem that cannot be solved by the most algorithm and propose a new method for infrared weak and small target detection.
出处 《光电技术应用》 2011年第5期77-80,共4页 Electro-Optic Technology Application
关键词 动态规划 能量累加 红外弱小目标检测 dynamic programming energy cumulative infrared weak and small target detection
  • 相关文献

参考文献8

二级参考文献143

  • 1宋慧波,高梅国,田黎育.一种有效的雷达微弱目标检测法[J].仪器仪表学报,2006,27(z2):1326-1327. 被引量:5
  • 2黄林梅,张桂林,王新余.基于动态规划的红外运动小目标检测算法[J].红外与激光工程,2004,33(3):303-306. 被引量:19
  • 3张兵,卢焕章.动态规划算法在运动点目标检测中的应用研究[J].电子与信息学报,2004,26(12):1895-1900. 被引量:11
  • 4周实奇.基于模拟熵的自适应图像分割[J].计算机工程,1996,22(3):104-106.
  • 5刘其真 何永保.用扩充输入法加快网络的学习速度[J].计算机工程,1997,23:261-263.
  • 6崔屹.数字图像处理技术[M].北京:电子工业出版社,1997..
  • 7[25]Kohle M, Merkl D, Kastner J. Clinical gait analysis by neural networks: Issues and experiences. In: Proc IEEE Symposium on Computer-Based Medical Systems, Maribor, Slovenia, 1997. 138-143
  • 8[26]Meyer D, Denzler J, Niemann H. Model based extraction of articulated objects in image sequences for gait analysis. In: Proc IEEE International Conference on Image Processing, Santa Barbara, California 1997. 78-81
  • 9[27]McKenna S et al. Tracking groups of people. Computer Vision and Image Understanding, 2000, 80(1):42-56
  • 10[28]Karmann K, Brandt A. Moving object recognition using an adaptive background memory. In: Cappellini V ed. Time-varying Image Processing and Moving Object Recognition. 2. Elsevier, Amsterdam, The Netherlands, 1990

共引文献352

同被引文献9

引证文献1

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