期刊
REMOTE SENSING
卷 10, 期 11, 页码 -出版社
MDPI
DOI: 10.3390/rs10111837
关键词
optical-to-SAR image registration; mesh grid strategy; edge detection
类别
资金
- National Natural Science Foundation of China [61331016, 41371342]
- National Key Research and Development Program of China [2016YFC0803000]
- Hubei Innovation Group [2018CFA006]
Automatic image registration of optical-to-Synthetic aperture radar (SAR) images is difficult because of the inconsistency of radiometric and geometric properties between the optical image and the SAR image. The intensity-based methods may require many calculations and be ineffective when there are geometric distortions between these two images. The feature-based methods have high requirements on features, and there are certain challenges in feature extraction and matching. A new automatic optical-to-SAR image registration framework is proposed in this paper. First, modified holistically nested edge detection is employed to detect the main contours in both the optical and SAR images. Second, a mesh grid strategy is presented to perform a coarse-to-fine registration. The coarse registration calculates the feature matching and summarizes the preliminary results for the fine registration process. Finally, moving direct linear transformation is introduced to perform a homography warp to alleviate parallax. The experimental results show the effectiveness and accuracy of our proposed method.
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