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.
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references
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