Target recognition algorithm for laser radar with correction filer and support vector machine

Laser radar can output the clear 3D range image and ID intensity image, and it can improve the target recognition accuracy. So it becomes the international hot topic. When the laser radar with wide field of view (FOV) and high resolution vertically detects the targets, there are multiple targets in FOV. Therefore, the target recognition not only needs to detect the multiple targets, but also requires the in-plane rotation invariance. In order to meet the above requirements, a new target recognition system was proposed, which combined the CHF -MACH filter with the in -plane rotation invariance and SVM. The filter could simultaneously detect and locate the multiple interesting targets, and then the SVM was used to recognize the located targets in the image. Using the simulation images as the experiment data, four kind of targets were recognized. The results show that the CHF-MACH filter has the well detection performance for the similar class targets, and can restrain the other class targets. SVM can classify the detected targets with high precision. So, the method can effectively recognize the multiple targets in FOV, and it is suitable for the laser radar.