Research And Development Of 2D Map Reconstruction Technology Based On GIS Platform

In the case of serious urban emergencies or mountain natural disasters,the field environment is seriously damaged,the rescue plan is difficult to make,and the rescue workers are not safe to ensure their own safety.In case of emergency,the on-site emergency monitoring and command system can carry out the rescue in time according to the disaster situation.The two-dimensional map reconstruction system is a subsystem of the on-site emergency monitoring and command system.By accepting the image of the airborne optical camera in the hit area,the real-time image splicing is realized,and the two-dimensional model is produced and produced in the field.The system provides the situation of the scene,the road accessibility,the spread of the fire,the collapse of the house and so on,which plays a vital role in the whole emergency system.In this theses,a two-dimensional map reconstruction system based on the GIS platform is designed.First,the detailed requirement analysis is made for the application of the actual project to the two-dimensional map reconstruction system.Then,the whole design idea and software code structure of the whole system are expounded,and the detailed implementation process of each module is explained in detail.The image registration technology is studied.Based on the comprehensive analysis of the status of the digital image mosaic technology at home and abroad,the image registration is carried out by contrasting phase correlation algorithm.The phase correlation algorithm is based on the displacement properties of the two-dimensional Fourier transform of the image,and the fast registration is made by using the mutual power spectrum of the two image images.It has a good effect on the simple twodimensional translational image,avoiding the matching of large resolution UAV aerial images and saving a lot of time.Finally,the functions of the system and its fault tolerance processing ability are tested and verified,to ensure that each function has been implemented correctly and can meet the requirements of the requirement analysis.The validity and correctness of the splicing algorithm are analyzed by experiments and the experimental results are given.