KEYWORDS: Target recognition, LIDAR, Sensors, 3D acquisition, Image processing, Feature extraction, Clouds, 3D modeling, 3D image processing, Data modeling
For the requirement of many practical applications in the field of military, the research of 3D target recognition is active.
The representation that captures the salient attributes of a 3D target independent of the viewing angle will be especially
useful to the automatic 3D target recognition system. This paper presents a new approach of image generation based on
Laser Detection and Ranging (LADAR) data. Range image of target is obtained by transformation of point cloud. In
order to extract features of different ground vehicle targets and to recognize targets, zernike moment properties of typical
ground vehicle targets are researched in this paper. A technique of support vector machine is applied to the classification
and recognition of target. The new method of image generation and feature representation has been applied to the
outdoor experiments. Through outdoor experiments, it can be proven that the method of image generation is stability, the
moments are effective to be used as features for recognition, and the LADAR can be applied to the field of 3D target
recognition.
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