Image registration in multispectral data sets
The paper discusses the matching of two multispectral data sets using the genetic algorithm (GA) as a search technique for the global optimum estimates of the transformation parameters. It uses the simplest form of the affine transformation, where the scaling and rotation are ignored, to explain how the GAs, which are used in the registrations' processes for the different bands, can cooperate. This cooperation between the GAs improves the speed of the matching process. The cooperation depends on the exchange of the intermediate results between the GAs. Therefore, the proposed approach demands the parallel realization of GAs. In addition, the proposed approach can be considered as a fusion method for the different decisions resulting form the registrations for the different bands. Landsat 7-band and 4-band aerial data set types are considered. The aerial data set type is used to explain how to the proposed approach speeds the matching process.