CAJ | 학술논문

针对目前小目标检测存在的难点，提出了一种基于时空域融合的小目标检测方法。该方法首先运用形态学Top-hat进行空域滤波，将原图像中的大部分背景及杂波抑制，时域上采用三帧差分方法增强目标。融合后对图像进行自适应阈值分割，得到潜在目标点，最后根据目标运动的连续性与规则性采用邻域判决法滤除虚警点，检测出目标的运动轨迹。仿真结果显示该方法能较好检测出复杂背景下低信噪比运动小目标。
침대목전소목표검측존재적난점，제출료일충기우시공역융합적소목표검측방법。해방법수선운용형태학Top-hat진행공역려파，장원도상중적대부분배경급잡파억제，시역상채용삼정차분방법증강목표。융합후대도상진행자괄응역치분할，득도잠재목표점，최후근거목표운동적련속성여규칙성채용린역판결법려제허경점，검측출목표적운동궤적。방진결과현시해방법능교호검측출복잡배경하저신조비운동소목표。
For the problem in small target detection, a temporal-spatial fusion algorithm is proposed. This algorithm first suppresses background by morphologic top-hat transform filtering in spatial domain, then uses three sequential frames to enhance target. It uses adaptive threshold to segment the frame and gain the potential targets, finally detects the target and excludes the false alarm points based on the continuity and regularity of target’s movement. The experimental results show that small target with low SNR can be detected in complex background with this algorithm.