Abstract：The paper studied exploration-vector-map-constrained and characteristic-points-based fine correction processing of remote-sensing image.Starting from the property of two maps of digitized seismic acquisition engineering map----remote-sensing image and exploration vector map,the paper expounded the principle and method for selecting characteristic points in a process of fine remote-sensing image correction; then taking vector map as constraint,using the mode combining local with global transforms to create math model,utilizing least square method to compute transformation parameters and resampling the data,that can realize the fine correction of remote-sensing image.On that basis,the paper presented a set of processing flow of fine correction of remote-sensing image used for seismic acquisition engineering.The practically applied maps showed the technique and the flow are feasibility.
