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针对海面舰船目标自动识别问题,在舰船目标逆合成孔径雷达(ISAR)图像预处理与结构特征提取的基础上,研究了采用ISAR轮廓像与舰船模型轮廓像匹配进行目标识别的方法。该方法首先利用结构特征进行粗分类,缩小模型匹配范围,接着将模型库中的模型投影到距离多普勒平面,利用二者轮廓像的相似程度完成目标识别。雷达实测数据处理说明了该方法的有效性。
Aiming at the automatic target recognition of the surface ship targets, the method of target recognition based on ISAR contour image matching with ship model contour is studied on the basis of ISAR image preprocessing and structural feature extraction. The method firstly uses the structural features to do the rough classification, narrows the model matching range, then projects the model in the model library to the distance Doppler plane, and uses the similar degree of the two contour images to complete the target recognition. Radar measured data processing shows the effectiveness of the method.