Title | ||
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Image autocoregistration and InSAR interferogram estimation using joint subspace projection |
Abstract | ||
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In this paper, we propose a new method to estimate synthetic aperture radar interferometry (InSAR) interferometric phase in the presence of large coregistration errors. The method takes advantage of the coherence information of neighboring pixel pairs to automatically coregister the SAR images and employs the projection of the joint signal subspace onto the corresponding joint noise subspace to es... |
Year | DOI | Venue |
---|---|---|
2006 | 10.1109/TGRS.2005.860984 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Synthetic aperture radar interferometry,Phase estimation,Filtering,Phase noise,Adaptive filters,Pixel,Remote sensing,Computer simulation,Computer errors,Spaceborne radar | Computer vision,Radar imaging,Interferometric synthetic aperture radar,Subspace topology,Synthetic aperture radar,Remote sensing,Interferometry,Pixel,Artificial intelligence,Signal subspace,Image registration,Mathematics | Journal |
Volume | Issue | ISSN |
44 | 2 | 0196-2892 |
Citations | PageRank | References |
23 | 1.16 | 10 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Zhenfang Li | 1 | 103 | 11.78 |
Zheng Bao | 2 | 1985 | 155.03 |
Hai Li | 3 | 2435 | 208.37 |
Guisheng Liao | 4 | 996 | 126.36 |