CAJ | 학술논문

针对低信噪比红外图像序列中的缓动弱小目标检测,本文提出了一种改进的分层多阶假设检验方法.根据最累积帧数划分目标的运动参数空间,利用多阶假设检验方法实现对目标轨迹的初检测;基于初检测的结果,通过迭代寻实现对目标轨迹运动参数的精确估计.通过对平稳高斯噪声及杂波干扰场景进行的仿真实验分析表明,改进的分层多阶设检验算法有效的实现了缓动弱小目标的检测,提高了轨迹参数的估计精度,极大地减少了计算量和存储量.
침대저신조비홍외도상서렬중적완동약소목표검측,본문제출료일충개진적분층다계가설검험방법.근거최루적정수화분목표적운동삼수공간,이용다계가설검험방법실현대목표궤적적초검측;기우초검측적결과,통과질대심실현대목표궤적운동삼수적정학고계.통과대평은고사조성급잡파간우장경진행적방진실험분석표명,개진적분층다계설검험산법유효적실현료완동약소목표적검측,제고료궤적삼수적고계정도,겁대지감소료계산량화존저량.
An improved algorithm using layered multistage hypothesis testing (LMHT) was proposed,aiming at detecting small and slow moving targets in the low SINK infrared image sequences. The targets'moving parameters space is separated as to the minimum cumulative frames and their trajectories are detected based on the MHT. The precise moving parameters of the targets'trajectories are achieved using iteratively searching. We make simulation with the scenes disturbed by gauss white noise and clutter. The results show that the improved algorithm effectively captures the dim targets and improves the precision of the parameters estimating, especially reducing the computation and storage remarkably.