摘要
对多模红外亚成像目标识别与跟踪小型化智能系统设计进行了讨论 ,分析了多CPU并行工作模型 ,双模图像融合识别模型及高精度锁相成像 ,最优亚成像相位控制 ,小型化 ,多CPU资源共享 ,多CPU通信控制等多种优化技术 ,提出系统小型化设计方案 ,最后给出了基于专用快速低功耗TMS32 0C50DSP芯片和可编程逻辑器件XC9510 8的系统实现。系统具有对进行相位控制的红外玫瑰线连续一维扫描信号进行快速同步采集和方位转换 ,二维准致密图像快速识别与跟踪等功能。调试结果表明 ,系统成像稳定清晰 ,能实时进行图像目标识别与跟踪。
In this paper, design considerations of miniature target recognition and tracking system of multi mode infrared subpixel are discussed. In addition, the parallel processing model of multi CPU, recognition model of dual mode image fusion and imaging by high resolution locked phase, the optimal phase control of subpixel, the miniaturization, the resources shared by multi CPU and the control ways for multi CPU communication are analyzed. A design schema of miniature system is advanced. Finally, the realization of optimizing design based on special fast low consumption TMS320C50 DSP chips and programming logic controlling chips XC95108 is proposed. This system can fulfill these functions, such as fast synchronous acquisition and azimuth transformation of 1 dimension pulse of rosette scanning, and real time target recognition and tracking of 2 dimension quasi compact image. The results shows that the image is stable and clear, real time target recognition and tracking can be realized.
出处
《红外技术》
CSCD
北大核心
2001年第2期28-31,34,共5页
Infrared Technology
关键词
多模图像
数据融合
红外
目标识别
智能系统
multi mode image
data fusion
miniaturization
parallelism
system realization
