Research On Optimization Of Polygon Data In Remote Sensing Image Vectorization

Remote sensing image vectorization,as an important technology of vector data sources,has been paid more and more attention with the development of remote sensing technology in recent years.However,the common vectorization method has been insufficient for the post-processing of vectorization data,and the optimization problem of vectorization polygon is the key to the postprocessing of vectorization data.The result and efficiency of optimization directly affects the practical application of vectorization data.At the same time,the development of massive remote sensing image vectorization technology has put forward more urgent need for more efficient vectorization data post-processing technology.In view of this,this paper studies the vector polygon data optimization method of remote sensing image with the method of vector data reduction and parallel computing technology.The major work is as follows:1.Summarizing the research status of grid vectorization algorithm,vector data simplification processing,parallel computing and geospatial processing,summarize the existing research results,analyze the existing problems,and further clarify the research content and research ideas of this paper.2.Basing on the principle of dynamic programming,this paper propose a method of extracting the common edge of the polygon in vector data.Through the comparison experiment verified that the method proposed in this paper can extract the common edges of the polygons in the vector data correctly and efficiently.3.Basing on the theory of geospatial data uncertainty,a simplified method of vector polygon is proposed.The experimental results show that the proposed method has better smoothing effect and higher position accuracy compared with the traditional method.4.Basing on the MPI parallel programming model,we design the data fusion method of parallel data processing.The parallel optimization algorithm of vector data is designed in detail.The experimental results show that the proposed method can greatly improve the efficiency of vectorization data post-processing.5.Designing and developing the corresponding function module plug-in to realize the polygon optimization method in the image vectorization data,and integrate it into the geographic information product software system,and combine an example to illustrate the validity and practicability of the research content.