Name
Abstract | ||
|---|---|---|
Coregistration of high-resolution optical and synthetic aperture radar (SAR) images is still an ongoing problem due to different imaging mechanisms of two kinds of remote sensing images. In this paper, we propose an optical flow-based algorithm to solve the dense registration problem [optical-to-SAR (OS)-flow]. Unlike parametric registration methods that estimate a transformation model, OS-flow ai... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TGRS.2019.2905585 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Optical imaging,Optical sensors,Adaptive optics,Radar polarimetry,Nonlinear optics,Remote sensing,Synthetic aperture radar | Local method,Computer vision,Synthetic aperture radar,Flow (psychology),Algorithm,Parametric statistics,Artificial intelligence,Flow map,Optical flow,Mathematics,Image registration,Computation | Journal |
Volume | Issue | ISSN |
57 | 9 | 0196-2892 |
Citations | PageRank | References |
2 | 0.35 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuming Xiang | 1 | 15 | 6.30 |
| Feng Wang | 2 | 19 | 3.05 |
| Ling Wan | 3 | 6 | 1.41 |
| Niangang Jiao | 4 | 2 | 1.03 |
| Hongjian You | 5 | 103 | 17.44 |