A Semi-Automatic Image Registration Scheme based on a Noval Asymmetrical Corner Detector (ACD)

In this paper, a novel Asymmetrical Corner Detector (ACD) algorithm based on the auto-correlation is presented. Based on the study of the fact that asymmetrical corner points are the most common reality in remotely sensed imagery data, the ACD is designed to detect interest points more favourable to slightly asymmetrical points rather than ideal symmetrical points. The experimentation results using images taken by different sensors indicate that the ACD has obtained excellent performance in terms of point localization and computational efficiency. It is more capable of selecting high quality ground control points (GCPs) than some well-established corner detectors, e.g. the Harris Corner Detector [1]. A semi-automatic image co-registration scheme is then proposed, which employed the ACD algorithm to extract evenly distributed GCPs across the overlapped area in the reference image.