A novel keypoint detection method for optical-SAR image registration

Keypoint detection is a crucial step in feature-based image registration methods. Traditional approaches typically rely on corner or blob matching. In this paper, we address the registration problem of optical and synthetic aperture radar (SAR) images by proposing the use of phase consistency maps combined with maximum moment maps for image enhancement. We then perform joint detection of multi-scale corners and blobs, followed by subsequent processing, in order to improve the repeatability and spatial distribution of the detected key points. By combining these two types of keypoints in the proposed method, we can benefit from the complementary strengths of corner and blob detection. This approach allows us to capture a wider range of salient image features and improve the robustness and accuracy of keypoint detection.