Conferencia

Jacobo-Berlles, J.; Mejail, M.E.; Frery, A.C.; Stolfi J.; Tozzi C.L. "The GA0 distribution as the true model for SAR images" (1999) 12th Brazilian Symposium on Computer Graphics and lmage Processing, SIBGRAPI 1999:327-336
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Abstract:

For many synthetic aperture radar (SAR) sensors, urban areas, forests and pasture areas have a growing degree of homogeneity, and for each one of these region types there is a distribution class that fits the data best. In this paper, the feasibility of using the G0 A distribution as a general model is studied, and the practical usefulness of this proposal is shown. The G0 A distribution is adopted as the true model, and its locally estimated parameters are used for classification of synthetic and real SAR images. © 1999 IEEE.

Registro:

Documento: Conferencia
Título:The GA0 distribution as the true model for SAR images
Autor:Jacobo-Berlles, J.; Mejail, M.E.; Frery, A.C.; Stolfi J.; Tozzi C.L.
Filiación:Departamento de Computación, Universidad de Buenos Aires, Ciudad Universitaria, Buenos Aires, 1428, Argentina
Departamento de Informática, Universidade Federal de Pernambuco, Recife, PE, Brazil
Año:1999
Página de inicio:327
Página de fin:336
DOI: http://dx.doi.org/10.1109/SIBGRA.1999.805742
Título revista:12th Brazilian Symposium on Computer Graphics and lmage Processing, SIBGRAPI 1999
Título revista abreviado:Proc. - Brazilian Symp. Comput. Graph. lmage Process., SIBGRAPI
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_07695048_v_n_p327_JacoboBerlles

Referencias:

  • Besag, J., On the statistical analysis of dirty pictures (with discussion) (1986) Journal of the Royal Statistical Society B, 48 (3), pp. 259-302
  • Frery, A.C., Muller, 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 (3), pp. 648-659
  • Gordon, S.D., Ritcey, J.A., Calculating the K distribution by saddlepoint integration (1995) IEE Proceedings in Radar, Sonar and Navigation, 142 (4), pp. 162-165
  • Joughin, I.R., Percival, D.B., Winebrenner, D.P., Maximum likelihood estimation of K distribution parameters for SAR data (1993) IEEE Transactions on Geoscience and Remote Sensing, 31 (5), pp. 989-999
  • Mejail, M., (1999) The GAO Distribution in the Modelling and Analysis of SAR Images, , PhD Thesis in Computer Science, Universidad de Buenos Aires, Argentina
  • Yanasse, C.C.F., Frery, A.C., Sant'Anna, S.J.S., (1995) Stochastic Distributions and the Multiplicative Model: Relations, Properties, Estimators and Applications to SAR Image Analysis, , Technical Report 5630-NTC/318, INPE, So Jos dos Campos, SP, Brazil
  • Yanasse, C.C.F., Frery, A.C., Sant'Anna, S.J.S., Hernandez, P.F., Dutra, L.V., Statistical analysis of SAREX data over Tapajos, Brazil (1993) SAREX-92: South American Radar Experiment, pp. 25-40. , ESA, Paris, M. Wooding and E. Attema, edsA4 - Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP); Fundacao de Apoio ao Ensino e a Pesquisa da Unicamp (FAEP)

Citas:

---------- APA ----------
Jacobo-Berlles, J., Mejail, M.E., Frery, A.C., Stolfi J. & Tozzi C.L. (1999) . The GA0 distribution as the true model for SAR images. 12th Brazilian Symposium on Computer Graphics and lmage Processing, SIBGRAPI 1999, 327-336.
http://dx.doi.org/10.1109/SIBGRA.1999.805742
---------- CHICAGO ----------
Jacobo-Berlles, J., Mejail, M.E., Frery, A.C., Stolfi J., Tozzi C.L. "The GA0 distribution as the true model for SAR images" . 12th Brazilian Symposium on Computer Graphics and lmage Processing, SIBGRAPI 1999 (1999) : 327-336.
http://dx.doi.org/10.1109/SIBGRA.1999.805742
---------- MLA ----------
Jacobo-Berlles, J., Mejail, M.E., Frery, A.C., Stolfi J., Tozzi C.L. "The GA0 distribution as the true model for SAR images" . 12th Brazilian Symposium on Computer Graphics and lmage Processing, SIBGRAPI 1999, 1999, pp. 327-336.
http://dx.doi.org/10.1109/SIBGRA.1999.805742
---------- VANCOUVER ----------
Jacobo-Berlles, J., Mejail, M.E., Frery, A.C., Stolfi J., Tozzi C.L. The GA0 distribution as the true model for SAR images. Proc. - Brazilian Symp. Comput. Graph. lmage Process., SIBGRAPI. 1999:327-336.
http://dx.doi.org/10.1109/SIBGRA.1999.805742