Abstract
Considering the uncertainty of calculation results by using single feature as measurement of target recognition and identification, this paper discussed the multi-features fusion technology in infrared image recognition classification. The invariant of the singular value and invariant moment feature of infrared target image were used to make fusion. According to Dempster-Shafer Theory, the basic probability assignment was calculated first, and the fusion data was used to make specification decision based on the corresponding rules in the decision-making level. The test result shows that the multi-features fusion method has a better stability, accuracy and reliability in target recognition applications. It can raise the accuracy and fault tolerance ability of infrared image recognition system. So it will have great application value to raise the guidance accuracy of infrared imaging terminal guidance system.
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