With the continuous advancement of optoelectronic technology, the demand for wide-area detection systems has become increasingly urgent. Super-large field-of-view infrared imaging technology has emerged as a research hotspot for institutions and military organizations owing to its strong spatial capacity, high real-time time domain performance, accurate target recognition, and excellent adaptability to various environments. This article elucidates the three primary imaging methods of super-large field-of-view infrared imaging technology, analyzing the technical details and characteristics of various imaging systems. Further, the application value of this technology is explored across multiple fields including military reconnaissance, intelligent driving, omnidirectional warning, target tracking, and camouflage recognition. The research progress of critical technologies such as corner detection, system calibration, and image registration is also discussed. Finally, considering the limitations and challenges of current technology, future development directions are proposed. These include the optimization of the lens structure and algorithms of imaging systems, improvement of imaging quality, and enhancement of stitching accuracy. Such advancements aim to promote continuous innovation and development of ultra-large field-of-view infrared imaging technology.