Emergency Rescue Decision-making System Based on Joint Algorithm of Remote Sensing Image and Unmanned Aerial Vehicle

In this article, firstly, the related technologies of remote sensing image and UAV (Unmanned aerial vehicle) will be deeply studied, including the acquisition and processing of remote sensing image, the design and control of UAV, etc. Then, an efficient joint algorithm is designed and implemented, which can make full use of the advantages of remote sensing images and UAV to achieve comprehensive acquisition and accurate analysis of environmental information in disaster areas. Finally, the whole system is tested and evaluated comprehensively to verify its performance and effectiveness. Experimental results show that the proposed algorithm has obvious advantages in path planning error and accuracy. Compared with traditional ant colony algorithm and traditional LSTM algorithm, the path planning error of the proposed algorithm is reduced by more than 7%, and its accuracy is improved by more than 90%. In addition, the model shows a fast convergence speed in the training process, which further improves the efficiency of the algorithm. In actual operation, the algorithm proposed in this article also shows a low time consumption, thus improving the rapidity and accuracy of rescue operations. The research results of this article will provide new ideas and methods for the design and implementation of emergency auxiliary rescue decision system.