Intelligent Air Combat Confrontation Training Target Recognition
About This Novel
Existing target detection and recognition technology has achieved remarkable results in ideal environments (single background, high target resolution, etc.), But often fails to work properly in more universal and open environments. Research on detection and recognition of small targets in complex scenes faces challenges at three levels: the complexity of the environment, the complexity of target characteristics, and the incompleteness of data. The basic idea of this paper to solve this problem is to modify the joint probability distribution of the target domain samples in the feature space under the guidance of source domain knowledge, thereby improving the separability of the sample target domain features. This paper focuses on the problem of inconsistent distribution from three levels: context information, information compensation and data enhancement.
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