A quantitative method to evaluate the performance of hyperspectral data fusion

Hyperspectral data fusion technique is the focus of hyperspectral data processing in recent years. Many fusion methods have been proposed, but little research work has been done to evaluate the performances of different data fusion methods. In order to meet the urgent need, a new method called quantitative correlation analysis is proposed in this paper. With this method, the performances of different fusion methods can be compared and analyzed directly based on the data of before and after the data fusion take place. The experiment results show that the new method is effective and the comparative results conform to the application results.