Generalized Model for Remotely Sensed Data Pixel-level Fusion

A generalized model characterizing most remotely sensed data pixel-level fusion techniques is very important for theoretical analysis and applications. This paper focuses on the establishment of a generalized model for most data fusion methods, which is helpful to quantitatively analyze and quickly implement different data fusion techniques. As an example, the PCA fusion method is selected to demonstrate the availability of the generalized model through the generalized model based implementation.