Abstract
Heterologous image matching is a popular academic topic in the world. Its commonly used data carriers are infrared and visible light images. Deep learning is machine learning applied to deep neural networks. As a technology emerging in recent years, it has been widely used in speech recognition, image processing and other fields and achieved good results. The main direction of this topic is the detection and matching of heterogeneous images based on deep learning. Different from traditional methods, this subject adopts darknet53, a light-weight and high-speed neural network, so as to achieve the purpose of optimizing the detection and matching effect and prove it through experiments. Today, deep learning and multi-disciplinary cross-matching have become a hot topic among hot topics. The application of low-cost, high-efficiency artificial intelligence networks in multi-scenario environments has become a consensus pursued by the scientific community.
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