Design And Implementation Of UAV Image And Remote Sensing Image Fusion And Quality Evaluation System

Remote sensing image fusion technology has always been a research hotspot in the field of remote sensing,and more and more researchers are now joining this team.The heterogeneous remote sensing image fusion technology can combine the images obtained by different sensors through a certain process and then use the algorithm to fuse the heterogeneous images.The combined images have the advantages of the images obtained by the two sensors.The images obtained by UAV remote sensing technology far exceed the resolution of satellite imagery.The fusion of low-altitude drones and remote sensing satellite images is of great value.UAV images have ultra-high resolution and the remote sensing satellite image spectrum information is sufficient.The fusion of the two images provides high-resolution images with sufficient spectral information,and this fusion is of great research value.The resolution and sharpness of UAV remote sensing data compared with satellite remote sensing image data are improved,but the UAV data does not have the multi-spectral characteristics of remote sensing data.In this paper,a fusion system is developed by using C# and C++ programming language.The system includes four fusion algorithms: Pansharp fusion algorithm,PCA transformation fusion algorithm,SFIM fusion algorithm and color standardization fusion algorithm.The system includes a complete set of image processing flow,from image The reading is performed to the fusion of the pre-processing to the image and the statistics of the image parameters after the fusion.This paper focuses on the basic principles of four pixel-level fusion methods,and studies the techniques and basic concepts of image preprocessing.The GF2 remote sensing satellite imagery is fused and the functions of the system evaluation parameter statistics are used to perform parameter statistics and comparative analysis on the fused images.In this paper,PIE software is used to preprocess the UAV data,and the developed image fusion and quality evaluation system is used to integrate and evaluate the UAV data and satellite data.Regarding the quality analysis and evaluation of image fusion,the two evaluation methods were selected as qualitative evaluation and quantitative evaluation by usingrelevant parameters.The qualitative evaluation made relevant evaluation based on relevant experience and literature data.The quantitative evaluation was based on several related parameters.The statistics were compared and analyzed to make an evaluation.This paper studies the algorithm for quantitatively evaluating parameters.