Geometric Correction And Fusion Research On Domestic Satellite GF-1 Data

Remote sensing satellite data has become one of the important technical support of planning,management and decision on the homeland, surveying and mapping, environment, agriculture and other areas.In recent years, the development of domestic high resolution remote sensing satellite by leaps and bounds,gradually broke the dominance of the foreign commercial satellites by the improvement of the image spatial resolution, gradually enhanced image acquisition ability and good image processing and began to widely services in various industries. Exploring how to use GF-1 data reasonably improves the satellite data self using rate,and promotes the application of domestic satellite data.In this paper,I do research on the PMS camera of the GF-1 satellite data from the two aspects,geometric correction and fusion.I do four experiments successively:How geometric correction model influencs the geometric correction accuracy of GF-1 satellite data. How DEM data influencs the geometric correction accuracy of GF-1 satellite data. How the number of GCPs influencs the geometric correction accuracy of GF-1 satellite data. Which kind of traditional data fusion methods is most suitable for GF-1 data. The research results of changping-yanqing key ore concentration area mining remote sensing investigation and monitoring, achieveing good results. Results in this paper are as follows:(1) I used the field acquisition of GPS control points respectively to GF-1 data polynomial geometric correction model and RPC rational function model and arranged beforehand good checkpoint and adjusted image feature points of the same name on the precision analysis. It is concluded that the RPC rational function model is the most suitable for high geometric correction model of a number of data.(2) I selected the ASTER GDEM data with SRTM data which current can be obtained free respectively the GF-1 as a geometric correction of DEM,Through comparative analysis, ASTER GDEM data is more suitable for GF-1 geometric correction than that of SRTM data.(3) In precision were similar cases, considering factors such as manpower, time consuming, using five geometric correction for individual GF-1 data is the best choice.(4) Firstly compare and analyse the ten kinds of traditional fusion method, and respectively use a variety of methods to GF-1 data fusion experiment. From both qualitative and quantitative analyses to evaluate the effect of the fused and it comes to the conclusion that PANSHARP fusion is the most suitable for GF-1 satellite data fusion method.