摘要
针对低信噪比下运动点目标的检测,提出了采用动态规划算法处理多帧图像以提高信噪比。为了进一步提高算法效率,在动态规划算法流程中融入了多级假设检验和方向加权算法,及早地摒除了置信度较低的轨迹树。实验证明,该算法较之传统算法效率有较大提高。
A new algorithm based on dynamic programming is presented to detect the moving point target from image sequences in low SNR environment. For improving the efficiency of the algorithm, mulitple hypothesis testing and orientation weighting have been resorted to truncate tree-structured list of candidate trajectory of low degree of confidence. The simulations show that the new algorithm is more efficient than tradition algorithm.
出处
《激光与红外》
CAS
CSCD
北大核心
2008年第6期605-608,共4页
Laser & Infrared
关键词
动态规划
多级假设
方向加权
虑目标
dynamic programming
muitiple hypothesis testing
orientation weighting
point target
