Research On The Methods Of GF-2 Satellite Remote Sensing Image Geometric Correction

Domestic high-resolution remote sensing technology has developed rapidly in recent years,and how to improve the acquisition ability of images and enhance the spatial resolution of remote sensing images became the keys to our country's remote sensing technology.Large scale remote sensing change detection and mapping and observing small changes on the earth's surface at small spatial scale have always been the major problems in the current world.But these problems have been solved with the advent of high-resolution satellite images.This also broad the prospect for the development of high-resolution satellite images.Remote sensing satellites which became the important technical support for agriculture,environment,mapping and land and other industries and domain management and planning nowadays.At the same time,domestic high-resolution satellites began to serve all walks of life in China and the world.The most representative is the domestic GF-2 remote sensing satellite.This is also a top priority to explore how to make more rational and efficient use of GF-2 data for current scientific research.This paper uses GF-2 remote sensing image data.We studied GF-2 images from different correction models,different number of control points and different DEM data of geometric correction deeply.And I have achieved the following results:In this paper,we use different geometric correction models to perform geometric correction experiments on GF-2 remote sensing images.This paper concludes that RPC rational function model is most suitable geometry correction model for GF-2 remote sensing image correction through experimental analysis.In this paper,comparative study of geometric correction experiments with different number of control points was in progress while using different models for geometric correction.In the experiment,used the same control points and correction points for processing and checking.After the accuracy analysis,also considered of time and manpower and other factors comprehensively.This paper concludes that uses 8 or more control points is the best choice for the geometric correction of single-view GF-2 data.In the final experiment,this paper performed correction experiment on GF-2 multispectral images with ASTER GDEM data and SRTM data.Both experiments uses the same ten control points for correction and resampling method was same as other experiments.After the experiment,used the same pre-prepared checkpoints for accuracy verification.This paper concludes that ASTERGDEM data is suitable for DEM data of GF-2 for geometric correction after analyzing the experimental results.