【摘 要】
：
常见的回波域算法在处理穿墙成像中的杂波抑制问题时,杂波滤除不够彻底,致使信杂比和目标准确性较低,严重影响目标检测与识别等后续处理.为解决这一问题,从图像域中寻找杂波像素和目标像素的区分特征,以离散系数实现对像素向量离散程度的定量化,以图像强度和剩余像素均值构建杂波抑制的评价体系,通过主杂波抑制和目标聚焦依次消除离散系数较大的杂波像素向量和背景像素向量,从而得到最终成像结果.仿真结果表明,所提算法具有良好的有效性和鲁棒性,能显著提升信杂比,使目标成像清晰准确.
【机 构】
：
海军航空大学岸防兵学院,山东烟台264001;海军航空大学航空作战勤务学院,山东烟台264001;海军航空大学航空保障专业兵训练基地,山东青岛266109
论文部分内容阅读
常见的回波域算法在处理穿墙成像中的杂波抑制问题时,杂波滤除不够彻底,致使信杂比和目标准确性较低,严重影响目标检测与识别等后续处理.为解决这一问题,从图像域中寻找杂波像素和目标像素的区分特征,以离散系数实现对像素向量离散程度的定量化,以图像强度和剩余像素均值构建杂波抑制的评价体系,通过主杂波抑制和目标聚焦依次消除离散系数较大的杂波像素向量和背景像素向量,从而得到最终成像结果.仿真结果表明,所提算法具有良好的有效性和鲁棒性,能显著提升信杂比,使目标成像清晰准确.
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