Implementation of a progressive target recognition system for all the angles

3D target recognition is a popular research field in the laser near-field detection, where the scan image of the target is obtained line by line. The arbitrary spatial position between the detector and the target, along with the interference caused by the clouds, make it difficult to realize accurate real-time identification for the detector. This paper presents a method to generate gray-scale plane images under any viewpoint by calculating the echo signals from the surface of 3D planes. Besides, considering both scan imaging and signal processing in hardware, a local feature based on improved and simplified SURF algorithm is implemented in hardware to describe the target. Then a progressive 3D target recognition system is built on the FPGA, and the experiments performed on the Modelsim simulation software show that the system can reach a high recognition rate.