Research And Implementation Of Image Data Processing Technology Based On Map Tiles

Geographic image data,as the main original data type in geographic information system,often has problems such as insufficient preprocessing and obsolete data.Aiming at the problem of cloudy and foggy original image data and poor display effect of map tile data fusion,this paper studied the relevant algorithms of image defogging and image fusion,optimized the existing algorithms and designed and implemented the application program of relevant modules in combination with the processing data source types.In order to improve geographic images of imaging in complex weather environment effect,in this paper,on the basis of the dark passage to fog,using geographical image to fog algorithm was generated against network design,refinement of the local illumination forecast,in purpose of fogging,and avoid the loss of the local terrain landform characteristics,improve the clarity of the image.Firstly,this paper studies the imaging mode and degradation process of foggy images,and establishes an atmospheric scattering model to simulate the degradation of images during the shooting process.Secondly,according to the data characteristics of the geographic image,the antagonistic network is generated to optimize the image defogging model,so that the image output of the model is closer to the real image.Through a large number of experiments,it has been proved that the image dehazing model designed in this paper based on conditional generation antagonism network has good contrast and color richness,which can effectively solve the problem of image degradation in foggy days.At the same time,with the reduction of paired data sets,the test indexes of the geographic image dehazing model will decrease.In order to achieve the function of image fusion based on map tile data.Automatic color equalization algorithm is presented in this paper,on the basis of using the characteristics of tile data structured,optimized the original algorithm,and according to two different resolution phase tiles and overlapping data such as special cases,combined with the histogram matching method to optimize the fusion effect,make the data in the update after fusion of terrain landform characteristics at the same time,to a larger degree of color balance effect,finally through the map tiles is divided into several subsets,parallel execution algorithm processing module,maximum limit use of memory,to shorten the time of fusion processing,further enhance the performance of the algorithm.The experimental results show that the optimized algorithm greatly reduces the processing time and improves the performance of the module while meeting the requirements of data fusion updating.