HJ satellite is the abbreviation of the Small Satellite Constellation ZINC of Environment and Disaster Monitoring and Forecasting in China, which plays a very important role in forecasting and monitoring the environment problems and natural disasters.The ortho-rectification of HJ images aided by GCP (Ground Control Point) image database is presented in this paper.The GCP image database is constructed from historical LandSat-TM images and the GCP chip consists of image and geographic attribute information.Then auto-searching and matching algorithm is introduced and mis-matching elimination method is presented.
The imaging model based on collinearity equation and the polynomial description of the attitude and position of scanning line is utilized for ortho-rectification.Four scene images are experimented and compared, and the result demonstrated the Lighting feasibility and high efficiency of the whole work flow.