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HYBRID MATCHING BASED ON POLYNOMIAL TRANSFORMATION

A new approach for hybrid matching based on polynomial models is proposed. Polynomial plays a key role in matching process; while the Efficiency Index measures the accuracy of the matching result. Airborne laser and aerial photograph are two data sources for this study. Even those sources perform in different projections, one can be transformed to another projection based on purposed transformation model and finally represented in the same projection as parallel. Both manual and automatic functions were employed to assist and improve modes of gathering and increasing number of tie points. Apart from edges and corners, height constraint and buildings configuration are employed. By result of this study, it was found that an accuracy of matching at checked points, when polynomial transformation was executed, was 0.99 of EI, and in the meantime the correlation (R) of resampling was about 0.99. Furthermore, height constraint was very important when various height of buildings were involved. It was found that dense buildings area with homogeneous height gave the highest accuracy of matching when polynomial transformation was applied.