Name
Title | ||
|---|---|---|
MRF model-based joint interrupted SAR imaging and coherent change detection via variational Bayesian inference. |
Abstract | ||
|---|---|---|
•An adaptive joint imaging and coherent change detection algorithm in interrupted environments is proposed based on Bayesian framework.•The anticipated structure in the changes such as sparsity and spatial clustering is modeled by a special MRF prior.•The mean-field variational Bayesian expectation-maximization (VBEM) method is utilized to simultaneously estimate the hidden variables and MRF parameters. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.sigpro.2018.05.007 | Signal Processing |
Keywords | Field | DocType |
Change detection,Markov random fields (MRF),Variational Bayesian expectation-maximization (VBEM),Interrupted synthetic aperture radar (SAR) | Mathematical optimization,Bayesian inference,Pattern recognition,Synthetic aperture radar,Markov chain,Regularization (mathematics),Artificial intelligence,Cluster analysis,Image resolution,Mathematics,Estimator,Bayesian probability | Journal |
Volume | ISSN | Citations |
151 | 0165-1684 | 3 |
PageRank | References | Authors |
0.40 | 21 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yue Yang | 1 | 32 | 11.51 |
| Xunchao Cong | 2 | 8 | 4.59 |
| Keyu Long | 3 | 4 | 1.46 |
| Yong-Jie Luo | 4 | 16 | 2.84 |
| Wei Xie | 5 | 13 | 3.96 |
| Qun Wan | 6 | 352 | 54.74 |