Construction of Remote Sensing Matching Positioning and Emergency Rescue System Based on Genetic Algorithm

In the context of disaster prevention and emergency response, precise and swift positioning using remote sensing (RS) imagery is paramount. Hence, developing an efficient and reliable RS image matching and positioning technique holds immense practical importance. This study aims to investigate the utilization of the genetic algorithm (GA) in RS matching location, aiming to enhance both accuracy and efficiency. When compared to traditional approaches, the GA demonstrates its superiority and practical utility in RS matching positioning. Initially, this article outlines the fundamental principles of the GA and the basics of RS matching positioning. Subsequently, it delves into a detailed analysis and empirical validation of the GA's application in RS matching positioning. The findings reveal that the GA significantly boosts the precision and recall of RS matching positioning. Furthermore, the optimization process is seamless and rapid, converging swiftly towards the optimal solution. This technique offers robust support for the deployment of RS technology in emergency rescue operations and beyond, paving the way for innovative solutions to optimization challenges in diverse domains.