An object oriented approach to multisensor data correction

The ability to conduct quantitative analysis with multitemporal and multisensor datasets is critical to the future success of remote sensing based resource management and global change monitoring systems. Such analysis needs the data to be co‐registered to a common geometric frame of reference requiring the removal of complex geometric image distortions inherent in the raw data. This task, referred to as geocoding, can best be accomplished by using all available a priori knowledge to model the physics of the image acquisition. Given the diverse nature of this knowledge and the need for flexibility to accommodate the multitude of imaging technologies, the object oriented paradigm provides an ideal framework for developing multisensor geocoding software. To demonstrate the utility of this approach, an object‐oriented geocoding toolbox was engineered and successfully used to geometrically register an extensive multisensor data set.