机载瞄准吊舱ATR技术初探

Preliminary Discussion on ATR Techniques in Airborne Targeting Pod

机载瞄准吊舱自动目标识别(ATR)技术包括传感器、处理机及其算法、图像分割与特征提取等常用的前视红外(FLIR)传感器和处理芯片,图像分割采用阈值分割、边缘检测、统计学分割和边界信息法等。特征类型有几何、拓扑和投影等。ATR技术有基于参数分类的ATR、模型ATR、多传感器信息融合的ATR、人工神经网络的ATR等。

Automatic target recognition (ATR) technology for airborne targeting pod includes sensor, processor and its arithmetic, image division and characteristic extraction technologies etc. FLIR sensor and processing CMOS chip is in common use, image was divided with threshold value division, marginal test, statistic division and marginal information etc. character types have geometry, topological and projection etc types. Such as ATR based on parameter classification, ATR is divided into ATR base on parameter sort, ATR base on model, ATR base on sensor information fusion, ATR base on artificial neural network and ATR base on knowledge.