Grönwall Christina, Gustafsson Fredrik, Millnert Mille
Department of Laser Systems, Swedish Defence Research Agency, Linköping, Sweden.
IEEE Trans Image Process. 2006 Nov;15(11):3400-8. doi: 10.1109/tip.2006.881965.
We propose a ground target recognition method based on 3-D laser radar data. The method handles general 3-D scattered data. It is based on the fact that man-made objects of complex shape can be decomposed to a set of rectangles. The ground target recognition method consists of four steps; 3-D size and orientation estimation, target segmentation into parts of approximately rectangular shape, identification of segments that represent the target's functional/main parts, and target matching with CAD models. The core in this approach is rectangle estimation. The performance of the rectangle estimation method is evaluated statistically using Monte Carlo simulations. A case study on tank recognition is shown, where 3-D data from four fundamentally different types of laser radar systems are used. Although the approach is tested on rather few examples, we believe that the approach is promising.
我们提出了一种基于三维激光雷达数据的地面目标识别方法。该方法可处理一般的三维散射数据。它基于这样一个事实，即复杂形状的人造物体可以分解为一组矩形。地面目标识别方法包括四个步骤：三维尺寸和方向估计、将目标分割成近似矩形的部分、识别代表目标功能/主要部分的片段以及目标与CAD模型匹配。这种方法的核心是矩形估计。使用蒙特卡罗模拟对矩形估计方法的性能进行统计评估。展示了一个坦克识别的案例研究，其中使用了来自四种根本不同类型激光雷达系统的三维数据。尽管该方法仅在较少的示例上进行了测试，但我们认为该方法很有前景。
