Adaptive Correlation Analysis With Non-Overlapping Imagery Indication

摘要

Many traditional image registration algorithms assume that the shared structures in each of two images are a significant portion of the image. However, in some remote sensing applications, the overlap can be small or even nonexistent. The registrationmethod developed in this paper can assess the existence of a common area and identify the alignment between two images when the common area is a small percentage of the images. Conventional correlation is used as an input to an adaptive target detectordesigned for registration. The output of the detector is then modeled with a statistical distribution to find the significance of the alignment point, which generally indicates if any overlap was found.. The method is applied to two data sets with varying amdunts of overlap. The data is low contrast, mid-wave infrared, which is particularly challenging for traditional registration algorithms and infrared imagery. The results show that this method produces accurate registration in a variety of cases where traditional correlation fails.