REGISTRATION TECHNIQUES FOR MULTISENSOR REMOTELY-SENSED IMAGERY

Image registration is one of the basic image processing operations in remote sensing. With the increase in the number of images collected ev ery day from different sensors, automated registration of multisensor/ multispectral images has become a very important issue. A wide range o f registration techniques has been developed for many different types of applications and data. Given the diversity of the data, it is unlik ely that a single registration scheme will work satisfactorily for all different applications. A possible solution is to integrate multiple registration algorithms into a rule-based artificial intelligence syst em so that appropriate methods for any given set of multisensor data c an be automatically selected. The first step in the development of suc h an expert system for remote sensing application would be to obtain a better understanding and characterization bf the various existing tec hniques for image registration. This is the main objective of this pap er as we present a comparative study of some recent image registration methods. We emphasize in particular techniques for multisensor image data, and a brief discussion of each of the techniques is given. This comprehensive study will enable the user to select algorithms that wor k best for his/her particular application domain.