High Space Remote Sensing Monitoring and Emergency Rescue Positioning System Based on Simulated Annealing Algorithm

With the continuous development of modern science and technology, remote sensing technology has become an important means to obtain spatial information. At the same time, the research of emergency rescue positioning system has also attracted much attention. After the disaster, it is very important to get the information of the affected area quickly and accurately and plan the best rescue path. In this paper, a high-space remote sensing monitoring and emergency rescue positioning system is constructed based on SAA (Simulated annealing algorithm), aiming at improving the accuracy and efficiency of space remote sensing monitoring and emergency rescue positioning. The experimental results show that this method can effectively reduce the data redundancy and positioning error in the process of remote sensing monitoring, and improve the accuracy and efficiency of emergency rescue positioning. At the same time, compared with the traditional algorithm, the method in this paper has better stability and reliability. In the case of increasing data sets, the stability of this model is the best, basically reaching more than 88%. It provides more efficient and accurate support for emergency rescue. The research results of this paper will provide new ideas and methods for the application of remote sensing technology in the field of emergency rescue, and it is expected to provide more efficient and accurate support for the future emergency rescue.