目标跨像元展宽“分裂”退化模型与检测研究  

Research on target cross-pixel broadening'splitting'degradation model and target detection

作　　者：何青叶 林长青[1] HE Qing-Ye;LIN Chang-Qing(Key Laboratory of Intelligent Perception,Shanghai Institute of Technical Physics,Chinese Academy of Sciences,Shanghai 200083,China;University of Chinese Academy of Sciences,Beijing 100049,China)

机构地区：[1]中国科学院上海技术物理研究所,中国科学院智能红外感知重点实验室,上海200083 [2]中国科学院大学,北京100049

出　　处：《红外与毫米波学报》2023年第3期391-398,共8页Journal of Infrared and Millimeter Waves

基　　金：上海市人才发展资金(2019043);中国科学院青年创新促进会(2014214)。

摘　　要：采用大规模红外探测器的遥感仪器对以恒星为主的点目标成像时,受点目标跨像元效应、探测器读出带宽不足等影响,目标信号展宽,在多抽头间隔采样下出现“分裂点”现象,空间红外遥感仪器定位精度、目标辨识能力下降。针对此问题,本文构建了点目标“分裂”退化模型,并根据分裂点之间的强相关性,设计了预检测-能量维度迭代-模型更新-后检测的目标检测流程,通过形态学滤波与多假设关联跟踪对“分裂点”目标各观测进行独立跟踪,获取“分裂点”统计信息。然后利用已知恒星成像的质心矫正退化模型并映射到检测图像,修正目标质心。测试结果表明,该方法能有效区分多目标和“分裂点”造成的假目标,平均定位精度由0.5像元以上提升到0.15像元内。The target signal is broadened due to the cross-pixel effect of the point target and the insufficient readout bandwidth of the detector when using the remote sensing instrument with large-scale infrared detectors to image the point target dominated by stars.After the equal interval sampling and data arrangement,the target image presents a“splitting point”state,which reduces the positioning accuracy and target recognition ability of spatial infrared remote sensing instruments.Aiming at this problem,a“splitting point”targets degradation model is constructed in this paper.According to the strong correlation between splitting points,a target detection process of pre-detection-energy dimension iteration-model updating–post-detection is designed.Through morphological filtering and the multiple hypotheses tracking technique,track the observations of the'split point'target independently and obtain the statistical information of“split point”.Then correct the constructed model with known star centroid and map it into the current detection image to correct the target centroid.The test results show that the method can effectively distinguish the false target caused by'split point'and multi-target,and the positioning accuracy is improved from more than 0.5 pixels to less than 0.15 pixels.

关 键 词：“:分裂点”目标 退化模型 多假设关联跟踪 质心校正 

分 类 号：TP751.1[自动化与计算机技术—检测技术与自动化装置]