Dynamic Evolution Model of Sustainable Development of Sports Towns in Liaoning Province based on Real-time Remote Sensing Image Classification Algorithm

Dynamic evolution model of the sustainable development of sports towns in Liaoning Province based on real-time remote sensing image classification algorithm is presented in the paper. The development of space microwave remote sensing technology has made great progress, the measurement accuracy of detection elements has been continuously improved, various new concepts, new technologies and new systems to meet specific needs have been emerging, and also related technologies have gradually made breakthroughs. With this background, this paper designs the novel real-time remote sensing image classification algorithm. The basic principle is to classify the observed pixel into the category with the highest probability by calculating the probability of the observed pixel relative to each category. For the real-time feature, the evolution model is combined. The designed model ius applied to the estimation of the sustainable development of sports towns in Liaoning Province.