Name
Abstract | ||
|---|---|---|
In this paper, an approach is presented for the reconstruction and analysis of synthetic aperture radar (SAR) images that preserves better fine structures and borders in the image than classical methods, The method uses the discontinuity adaptive MRF model proposed by Li [1] in combination which an observation model that exploits a gamma distribution. This resulted in a new algorithm that is suited to the analysis of SAR images. |
Year | DOI | Venue |
|---|---|---|
1997 | 10.1007/3-540-63507-6_209 | ICIAP (1) |
Keywords | Field | DocType |
synthetic aperture radar image,discontinuity adaptive mrf model,fine structure,image analysis,synthetic aperture radar,gamma distribution | Computer vision,Random field,Markov model,Markov random field,Computer science,Synthetic aperture radar,Discontinuity (linguistics),Image processing,Artificial intelligence,Gamma distribution,Speckle noise | Conference |
ISBN | Citations | PageRank |
3-540-63507-6 | 1 | 0.40 |
References | Authors | |
4 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| P. C. Smits | 1 | 115 | 17.06 |
| Silvana G. Dellepiane | 2 | 101 | 21.42 |
| Gianni Vernazza | 3 | 378 | 50.89 |