Center for Automation Research, University of Maryland, College Park, MD 21201, USA.
IEEE Trans Image Process. 2001;10(4):565-72. doi: 10.1109/83.913591.
A pulsed ladar based object-recognition system with applications to automatic target recognition (ATR) is presented. The approach used is to fit the sensed range images to range templates extracted through a laser physics based simulation applied to geometric target models. A projection-based prescreener filters out more than 80% of candidate templates. For recognition, an M of N pixel matching scheme for internal shape matching is combined with a silhouette matching scheme. The system was trained on synthetic data obtained from the simulation, and has been blind tested on a data set containing real ladar images of military vehicles at various orientations and ranges. Successful blind testing on real imagery demonstrates the utility of synthetic imagery for training of recognizers operating on ladar imagery.
提出了一种基于脉冲激光雷达的目标识别系统，该系统可应用于自动目标识别（ATR）。所采用的方法是将感知的距离图像与通过应用于几何目标模型的激光物理仿真提取的距离模板相匹配。基于投影的预筛选器过滤掉超过 80%的候选模板。对于识别，内部形状匹配采用 M 对 N 像素匹配方案，与轮廓匹配方案相结合。该系统是在从模拟中获得的合成数据上进行训练的，并已在包含各种方位和距离的军用车辆真实激光雷达图像的数据集上进行了盲测试。在真实图像上的成功盲测试证明了合成图像对于在激光雷达图像上运行的识别器的训练是有用的。
