A novel keypoint detection method for optical-SAR image registration

Mingxin Lin; Yijun Liu; Bingyuan Liu; Qingsong Wang

doi:10.1117/12.3029738

21 June 2024 A novel keypoint detection method for optical-SAR image registration

Mingxin Lin, Yijun Liu, Bingyuan Liu, Qingsong Wang

Proceedings Volume 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024); 131672B (2024) https://doi.org/10.1117/12.3029738
Event: International Conference on Remote Sensing, Mapping and Image Processing (RSMIP 2024), 2024, Xiamen, China

Abstract

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.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Mingxin Lin, Yijun Liu, Bingyuan Liu, and Qingsong Wang "A novel keypoint detection method for optical-SAR image registration", Proc. SPIE 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024), 131672B (21 June 2024); https://doi.org/10.1117/12.3029738

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available