Summarize and analysis of large-field imaging technology and target recognition technology based on large-field imaging detection

With the development of engineering technology, the demand for large field of view detection and group target recognition has significantly increased. Traditional photoelectric detection systems are unable to meet modern needs due to issues such as small field of view, and large field of view imaging technology and target recognition have become research hotspots. The current research mainly focuses on improving hardware performance and software algorithm capabilities. Hardware research involves improving the imaging field of view and achieving hyperspectral detection, while software algorithm research focuses on improving imaging resolution. Group target recognition mainly relies on neural networks, bionic technology, and target spectral characteristic recognition methods, which significantly improve the performance of photoelectric detection systems and provide an important foundation for target recognition under large field of view imaging detection conditions. This article reviews and analyzes relevant technologies based on practical engineering needs, providing reference for subsequent engineering applications.