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Abstract:

Data from a coherent illumination system like a Synthetic Aperture Radar (SAR) can be modelled by the multiplicative model. This model explains the characteristics of these data. The multiplicative model states that, under certain conditions, the constructive and destructive interferences of the incident and reflected signals give a return that varies, in a random manner, with the mean value of the backscatter corresponding to the illuminated target. The script K sign distributions have been widely used to model data comming from a coherent illumination system, in particular for SAR images. These distributions allow us to model homogeneous as well as heterogeneous data. Given the need of finding a model for extremely heterogeneous data, a new class of distributions, the G distributions and a particular case the G0 A distributions have been recently proposed. These distributions model urban area very well, while script K sign distributions do not fit this type of data. In this work, the feasibility of substituting the G0 A distribution for the script K signA distribution is studied and the practical usefulness of doing this will be shown. Once this fact is established, it will be possible to consider SAR images under the G0 A model only.

Registro:

Documento: Artículo
Título:Approximation of distributions for SAR images: Proposal, evaluation and practical consequences
Autor:Mejail, M.E.; Frery, A.C.; Jacobo-Berlles, J.; Bustos, O.
Filiación:Departamento de Computación, Universidad de Buenos Aires, Ciudad Universitaria, 1428 Buenos Aires, Argentina
Universidade Federal de Pernambuco, Departamento de Informática, CP 7851, 50732-970 Recife, Brazil
Fac. de Matemat. Astronomia y Fis., Univ. Nacional de Córdoba, Ciudad Universitaria, 5000 Córdoba, Argentina
Palabras clave:Image processing; SAR; Statistical analysis
Año:2001
Volumen:31
Número:2
Página de inicio:83
Página de fin:92
Título revista:Latin American Applied Research
Título revista abreviado:Lat. Am. Appl. Res.
ISSN:03270793
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03270793_v31_n2_p83_Mejail

Referencias:

  • Besag, J., On the statistical analysis of dirty pictures (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
  • Jakeman, E., Tough, Generalized {K} distribution: A statistical model for weak scattering (1987) Journal of the Optical Society of America A, 4 (9), pp. 1764-1772
  • 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. , September
  • Mejail, M., Jacobo-Berlles, J.C., Frery, A.C., Bustos, O.H., (1998) Parametric Roughness Estimation in Amplitude SAR Images under the Multiplicative Model, , O.H. Revista de Teledeteccion", editada par la Sociedad Española de Teledeteccion To appear
  • Oliver, C.J., Information from SAR images (1991) Journal of Physics D: Applied Physics, 27 (2), pp. 238-246
  • Richards, J.A., (1986) Remote Sensing Digital Image Analysis: An Introduction, , Springer-Verlag. Berlin
  • Ulaby, F.T., Kouyate, F., Brisco, B., Williams, T.M., Textural information in SAR images (1986) IEEE Transactions on Geoscience and Remote Sensing, pp. 235-245. , GE-24
  • 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) Technical Report 5630-NTC/318, INPE, , São José 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 Tapajós - Brazil (1993) SAREX-92: South American Radar Experiment, pp. 25-40. , M. Wooding and E. Attema editors. ESA, Paris

Citas:

---------- APA ----------
Mejail, M.E., Frery, A.C., Jacobo-Berlles, J. & Bustos, O. (2001) . Approximation of distributions for SAR images: Proposal, evaluation and practical consequences. Latin American Applied Research, 31(2), 83-92.
Recuperado de https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03270793_v31_n2_p83_Mejail [ ]
---------- CHICAGO ----------
Mejail, M.E., Frery, A.C., Jacobo-Berlles, J., Bustos, O. "Approximation of distributions for SAR images: Proposal, evaluation and practical consequences" . Latin American Applied Research 31, no. 2 (2001) : 83-92.
Recuperado de https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03270793_v31_n2_p83_Mejail [ ]
---------- MLA ----------
Mejail, M.E., Frery, A.C., Jacobo-Berlles, J., Bustos, O. "Approximation of distributions for SAR images: Proposal, evaluation and practical consequences" . Latin American Applied Research, vol. 31, no. 2, 2001, pp. 83-92.
Recuperado de https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03270793_v31_n2_p83_Mejail [ ]
---------- VANCOUVER ----------
Mejail, M.E., Frery, A.C., Jacobo-Berlles, J., Bustos, O. Approximation of distributions for SAR images: Proposal, evaluation and practical consequences. Lat. Am. Appl. Res. 2001;31(2):83-92.
Available from: https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03270793_v31_n2_p83_Mejail [ ]