MUlti information based Ground Control Points selection method

Ground Control Points (GCPs) are one of the most important data used in many fields of Remote Sensing. The number and distribution of GCPs are always the key factors for the success of some researches. A GCPs selection method by integrating the three dimensional spatial information (i.e. the earth coordinates (X, Y, Z) ) and the corresponding feature information underlying the data itself was proposed. To testify the performance of this method, a Rational Function Model Resolving experiment is conducted. Experiment results show that the accuracy and time-consuming performance are both improved using GCPs selected by the proposed method.