Name
Title | ||
|---|---|---|
An Improved Attributed Scattering Model Optimized by Incremental Sparse Bayesian Learning. |
Abstract | ||
|---|---|---|
In this paper, we propose an improved attributed scattering model to mathematically unify the scattering models of several canonical primitives. These primitives include not only point- and line-segment-scatterers, such as trihedral, cylinder, dihedral, and rectangular plane, but also arc scatterers, such as sphere and top-hat. The estimation of the model parameters can be posed as an ill-posed li... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TGRS.2015.2509539 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Scattering,Mathematical model,Inverse problems,Approximation methods,Bayes methods,Parametric statistics,Optimization | Bayesian inference,Scattering,Artificial intelligence,Inverse problem,Estimation theory,Imagination,Inverse scattering problem,Computer vision,Mathematical optimization,Search engine,Cylinder,Algorithm,Mathematics | Journal |
Volume | Issue | ISSN |
54 | 5 | 0196-2892 |
Citations | PageRank | References |
1 | 0.36 | 15 |
Authors | ||
5 | ||