Name
Title | ||
|---|---|---|
SAR Image Reconstruction From Undersampled Raw Data Using Maximum A Posteriori Estimation |
Abstract | ||
|---|---|---|
A method for synthetic aperture radar (SAR) imaging using maximum a posteriori (MAP) estimation based on multiplicative speckle model is presented. The new method uses the total variation (TV) minimization to regularize the solution. The reconstruction of SAR image is formulated as a biconvex optimization problem, which is solved by the alternate convex search (ACS) method. Experiments on Radarsat-1 raw data show that the proposed method can recover most of the structural and texture details of the imaged scene using only a half of raw data. Compared with regular regularization methods for SAR imaging with incomplete data, the proposed method performs much better on less sparse scenes. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/JSTARS.2014.2360776 | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING |
Keywords | Field | DocType |
Biconvex optimization,compressed sensing (CS),maximum a posteriori (MAP),multiplicative speckle,synthetic aperture radar (SAR),total variation (TV) | Iterative reconstruction,Computer vision,Speckle pattern,Synthetic aperture radar,Remote sensing,Biconvex optimization,Raw data,Regularization (mathematics),Minification,Artificial intelligence,Maximum a posteriori estimation,Mathematics | Journal |
Volume | Issue | ISSN |
8 | 4 | 1939-1404 |
Citations | PageRank | References |
0 | 0.34 | 28 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiao Dong | 1 | 4 | 1.08 |
| Yunhua Zhang | 2 | 14 | 5.77 |