A Novel Correction Algorithm Based on Polynomial and TPS Models

Image correction technology is very important both for image mosaic and for measurement. To overcome the defects and limitations of polynomial and TPS models, basing on polynomial and TPS correction models, an improved algorithm is proposed in this paper. In this method, the processing is divided into two stages, global correction and local correction, and different screening methods of GCPs are adopted in different stages. By fully utilizing all GCPs, the respective correction advantages of the two sub-models can be efficiently demonstrated, and, in the meanwhile, the ultra-plus effect of this combination can be stimulated. Eventually, image correction accurcy can be improved. Simulation results show that, comparing with currently available approximate geometric correction methods, this method has high accuracy, good robustness and can effectively coordinate the conflict of the global correction and local correction.