Journal
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
Volume 12, Issue 8, Pages 3004-3013Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSTARS.2019.2920717
Keywords
Coherence; co-registration; enhanced spectral diversity (ESD); minimum spanning tree (MST); SAR interferometry (InSAR); Terrain Observation by Progressive Scans (TOPS)
Categories
Funding
- National Natural Science Foundation of China [41774003]
- Fundamental Research Funds for the Central Universities [2018B17714, 2018B773X14]
- Natural Science Foundation of Jiangsu Province [BK20171432]
- ESA-MOST Dragon 4 project [32248_2]
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Synthetic aperture radar (SAR) image co-registration is one of the essential steps for interferometric SAR processing and the following multitemporal analysis. All acquisitions from time-series images with the Sentinel-1 Terrain Observation by Progressive Scans (TOPS) model should be co-registrated to a common reference geometry with an accuracy of approximately 0.001 pixels. Such a high accuracy can be achieved by correcting the residual azimuth mis-registration using the Enhanced Spectral Diversity (ESD) technique. However, the performance of the ESD depends on the coherence of image pairs, especially over fast decorrelation areas. To improve the coherence between acquisitions, we develop a joint co-registration procedure based on the minimum-spanning-tree algorithm and iterative reweighted least squares. In order to further improve the accuracy of the azimuth mis-registration over low-coherence scenes, we present a coherence estimator by combining two consecutive bursts of SLC samples to reduce both bias and variance. The proposed method is tested over two low-coherence scenes and compared to the network-based ESD approach. The results from both synthetic and real data demonstrated the advantages of our method.
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