Conferencia
Abstract:
The multiplicative model has been widely used to explain the statistical properties of SAR images. In it, the model for the image Z is a 2-D random field, that is regarded as the result of the product of X, the backscatter that depends on the physical characteristics of the sensed area, and Y, the speckle that depends on the number of looks used to generate the image Z. The most famous distribution for SAR images based on the multiplicative model is the K distribution (Jackeman et al). Recently Frery et al. proposed an alternative distribution, The GA 0 (α, γ, n) distribution which models very well extremely heterogeneous areas (cities) as well as moderately heterogeneous areas (forest) and homogeneous areas (crop fields). The ground truth at each pixel can be characterized by the statistical parameters α and γ, while n is constant for all of the pixels. The purpose of estimating these parameters for every pixel is twofold: first, it can be used to perform a segmentation process and, second, it can be used for gray level restoration. In this work we follow a Markov random field approach and propose an energy function derived from the statistical model adopted: GA 0 (α, γ, n). Egde-preservation is taken into account implicitly in the energy function.
Registro:
| Documento: | Conferencia |
| Título: | The GA0 distribution model in edge-preserving parameter estimation of SAR images |
| Autor: | Jacobo-Berlles, J.; Mejail, M.; Frery, A.C.; Preteux F.; Davidson J.L.; Dougherty E.R. |
| Ciudad: | San Diego, CA |
| Filiación: | Universidad de Buenos Aires, Departamento de Computación, Pabellon I - Ciudad Universitaria, 1428 Buenos Aires, Argentina |
| Palabras clave: | Backscattering; Computer simulation; Image reconstruction; Image segmentation; Markov processes; Mathematical models; Parameter estimation; Probability density function; Probability distributions; Speckle; Statistical methods; Synthetic aperture radar; Edge preserving parameter estimation; Energy function; Gray level restoration; Ground truth; Markov random field; Multiplicative model; Image analysis |
| Año: | 1998 |
| Volumen: | 3457 |
| Página de inicio: | 209 |
| Página de fin: | 215 |
| DOI: | http://dx.doi.org/10.1117/12.323446 |
| Título revista: | Mathematical Modeling and Estimation Techniques in Computer Vision |
| Título revista abreviado: | Proc SPIE Int Soc Opt Eng |
| ISSN: | 0277786X |
| CODEN: | PSISD |
| Registro: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0277786X_v3457_n_p209_JacoboBerlles |
Referencias:
- Jakeman, E., Tough, R.J.A., Generalized K distribution: A statistical model for weak scattering (1987) Journal of the Optical Society of America A, 4, pp. 1764-1772. , Sept
- Frery, A.C., Müller, H.-J., Yanasse, C.C.F., Sant'Anna, S.J.S., A model for extremely heterogeneous clutter (1997) IEEE Transactions on Geoscience and Remote Sensing, 35, pp. 648-659. , May
- Mejail, M., Frery, A.C., Jacobo-Berlles, J., Kornblit, F., Approximation of the KA distribution by the GAO distribution (1998) Segunda Jornada Latinoamenricana de Sensoriamento Remoto por Radar, , p. to appear, ESA, (Santos, SP, Brazil), Sept
- Yanasse, C.C.F., Frery, A.C., Sant'Anna, S.J.S., Stochastic distributions and the multiplicative model: Relations, properties, estimators and applications to SAR image analysis (1995), Tech. Rep. 5630-NTC/318, INPE, São José dos Campos, SP, Brazil; Mejail, M., Jacobo-Berlles, J., Frery, A.C., Bustos, O.H., Parametric roughness estimation in amplitude SAR images under the multiplicative model (1998) IEEE Transactions on Aerospace and Electronic Systems, , submitted
- Geman, S., Reynolds, G., Constrained restoration and the recovery of discontinuities (1992) IEEE Transactions on Pattern Analysis and Machine Intelligence, 14 (6), pp. 367-383
- Blake, A., Zisserman, A., (1987) Visual Reconstruction, , The MIT Press
- Charbonnier, P., Aubert, L.B.-F.G., Barlaud, M., Deterministic edge-preserving regularization in computed imaging (1997) IEEE Transactions on Image Processing, 6 (2), pp. 298-311. , This is a full ARTICLE entry
- Geman, D., Geman, S., Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images (1984) IEEE Transactions on Pattern Analysis and Machine Intelligence, 6, pp. 721-741. , NovA4 - SPIE
Citas:
---------- APA ----------
Jacobo-Berlles, J., Mejail, M., Frery, A.C., Preteux F., Davidson J.L. & Dougherty E.R. (1998) . The GA0 distribution model in edge-preserving parameter estimation of SAR images. Mathematical Modeling and Estimation Techniques in Computer Vision, 3457, 209-215.http://dx.doi.org/10.1117/12.323446
---------- CHICAGO ----------
Jacobo-Berlles, J., Mejail, M., Frery, A.C., Preteux F., Davidson J.L., Dougherty E.R. "The GA0 distribution model in edge-preserving parameter estimation of SAR images" . Mathematical Modeling and Estimation Techniques in Computer Vision 3457 (1998) : 209-215.http://dx.doi.org/10.1117/12.323446
---------- MLA ----------
Jacobo-Berlles, J., Mejail, M., Frery, A.C., Preteux F., Davidson J.L., Dougherty E.R. "The GA0 distribution model in edge-preserving parameter estimation of SAR images" . Mathematical Modeling and Estimation Techniques in Computer Vision, vol. 3457, 1998, pp. 209-215.http://dx.doi.org/10.1117/12.323446
---------- VANCOUVER ----------
Jacobo-Berlles, J., Mejail, M., Frery, A.C., Preteux F., Davidson J.L., Dougherty E.R. The GA0 distribution model in edge-preserving parameter estimation of SAR images. Proc SPIE Int Soc Opt Eng. 1998;3457:209-215.http://dx.doi.org/10.1117/12.323446
