In the embedded field represented by missile spaceflight

the traditional template matching method is often used to conduct the target location search

and the accuracy of the matching will be greatly reduced due to the complexity of the scene and the deformation or Angle transformation of the target. However

the algorithm that USES CNN network to directly detect the target is difficult to transplant to the embedded platform due to the huge network scale and computation. Siamese network matching algorithm) is presented in this paper

on the one hand

using the network feature extraction ability

improve the matching accuracy under complex scene

on the other hand using symmetry of Siamese

using graph matching process supervision

significantly reduced the size of the network

the algorithm can be transplanted to the embedded platform

have very strong practicability.