Navegar

Colección

Datos Estadísticas

Artículo

Mejail, M.E.; Jacobo-Berlles, J.C.; Frery, A.C.; Bustos, O.H. "Classification of SAR images using a general and tractable multiplicative model" (2003) International Journal of Remote Sensing. 24(18):3565-3582
Estamos trabajando para incorporar este artículo al repositorio
Consulte el artículo en la página del editor
Consulte la política de Acceso Abierto del editor

Abstract:

Among the frameworks for Synthetic Aperture Radar (SAR) image modelling and analysis, the multiplicative model is very accurate and successful. It is based on the assumption that the observed random field is the result of the product of two independent and unobserved random fields: X and Y. The random field X models the terrain backscatter and, thus, depends only on the type of area to which each pixel belongs. The random field Y takes into account that SAR images are the result of a coherent imaging system that produces the well-known phenomenon called speckle noise, and that they are generated by performing an average of n statistically independent images (looks) in order to reduce the noise effect. There are various ways of modelling the random field X; recently the Γ- 1/2(α, γ) distribution was proposed. This, with the usual Γ1/2(n, n) distribution for the amplitude speckle, resulted in a new distribution for the return: the 0 A (α, γ, n) law. The parameters α and γ depend only on the ground truth, and n is the number of looks. The advantage of this distribution over the ones used in the past is that it models very well extremely heterogeneous areas like cities, as well as moderately heterogeneous areas like forests and homogeneous areas like pastures. As the ground data can be characterized by the parameters α and γ, their estimation in each pixel generates parameter maps that can be used as the input for classification methods. In this work, moment estimators are used on simulated and on real SAR images and, then, a supervised classification technique (Gaussian maximum likelihood) is performed and evaluated. Excellent classification results are obtained.

Registro:

Documento: Artículo
Título:Classification of SAR images using a general and tractable multiplicative model
Autor:Mejail, M.E.; Jacobo-Berlles, J.C.; Frery, A.C.; Bustos, O.H.
Filiación:Departamento de Computación, Facultad de Ciencias Exactas y Nat., Universidad de Buenos Aires, Buenos Aires 1428, Argentina
Centro de Informática, Universidade Federal de Pernambuco, Recife, PE 50732-970, Brazil
Facultad de Matematica Astronomia, Universidad Nac. de Córdoba, Córdoba 5000, Argentina
Palabras clave:Computer simulation; Imaging systems; Mathematical models; Speckle; Spurious signal noise; Homogeneous areas; Remote sensing; backscatter; geostatistics; image analysis; image classification; remote sensing; synthetic aperture radar
Año:2003
Volumen:24
Número:18
Página de inicio:3565
Página de fin:3582
DOI: http://dx.doi.org/10.1080/0143116021000053274
Título revista:International Journal of Remote Sensing
Título revista abreviado:Int. J. Remote Sens.
ISSN:01431161
CODEN:IJSED
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01431161_v24_n18_p3565_Mejail

Referencias:

  • Barndorff-Nielsen, O.E., Blæsild, P., Hyperbolic distributions and ramifications: Contributions to theory and applications (1981) Statistical Distributions in Scientific Work, pp. 19-44. , edited by C. Taillie and B. A. Baldessari (Dordrecht: Reidel)
  • Besag, J., Toward Bayesian image analysis (1989) Journal of Applied Statistics, 16, pp. 395-407
  • Bustos, O.H., Lucini, M.M., Frery, A.C., M-estimators of roughness and scale for GAO-modelled SAR imagery (2002) EURASIP Journal on Applied Signal Processing, 2002, pp. 105-114
  • Cribari-Neto, F., Frery, A.C., Silva, M.F., Improved estimation of clutter properties in speckled imagery (2002) Computational Statistics and Data Analysis, 40, pp. 801-824
  • Devroye, L., (1986) Non-Uniform Random Variate Generation, , New York: Springer-Verlag
  • Frery, A.C., Cribari-Neto, F., De Souza, M.O., Minute feature estimation in speckled imagery (2002) 15th Brazilian Symposium on Computer Graphics and Image Processing, pp. 347-354. , Los Alamitos, CA: IEEE
  • Frery, A.C., Müller, H.-J., Yanasse, C.C.F., Santanna, S.J.S., A model for extremely heterogeneous clutter (1997) IEEE Transactions on Geoscience and Remote Sensing, 35, pp. 648-659
  • Frery, A.C., Santanna, S.J.S., Mascarenhas, N.D.A., Bustos, O.H., Robust inference techniques for speckle noise reduction in 1-look amplitude SAR images (1997) Applied Signal Processing, 4, pp. 61-76
  • Frery, A.C., Yanasse, C.C.F., Santanna, S.J.S., Alternative distributions for the multiplicative model in SAR images (1995) International Geoscience and Remote Sensing Symposium: Quantitative Remote Sensing for Science and Applications, pp. 169-171. , Florence: IEEE Computer Society
  • Frery, A.C., Yanasse, C.C.F., Vieira, P.R., Santanna, S.J.S., Rennó, C.D., A user-friendly system for synthetic aperture radar image classification based on grayscale distributional properties and context (1997) 10th Brazilian Symposium on Computer Graphics and Image Processing, pp. 211-218. , Los Alamitos, CA: IEEE
  • Gordon, S.D., Ritcey, J.A., Calculating the K-distribution by saddlepoint integration (1995) IEE Proceedings in Radar, Sonar and Navigation, 142, pp. 162-165
  • Manski, C.F., (1988) Analog Estimation Methods in Econometrics, Monographs on Statistics and Applied Probability, (39). , http://elsa.berkeley.edu/books/analog.html, (New York: Chapman and Hall), available at
  • Mejail, M.E., (1999) la Distribución GAO En El Modelado Y Análisis de Imágenes De Radar De Apertura Sintética, , PhD thesis, Universidad Nacional de Buenos Aires, Facultad de Ciencias Exactas y Naturales, Departamento de Computación, Buenos Aires, Argentina
  • Mejail, M.E., Frery, A.C., Jacobo-Berlles, J., Bustos, O.H., Approximation of distributions for SAR images: Proposal, evaluation and practical consequences (2001) Latin American Applied Research, 31, pp. 83-92
  • Mejail, M.E., Jacobo-Berlles, J., Frery, A.C., Butos, O.H., Parametric roughness estimation in amplitude SAR images under the multiplicative model (2000) Revista de Teledetección, 13, pp. 37-49
  • Oliver, C., Quegan, S., (1998) Understanding Synthetic Aperture Radar Images, , Boston, MA: Artech House
  • Redner, R.A., Walker, H.F., Mixture densities, maximum likelihood and the EM algorithm (1984) SIAM Review, 26, pp. 195-239
  • Silva, L.B.D., (1998) Correção de Viés E Estatística de Teste Em Dados De Imagens SAR, , Master's thesis, Departamento de Estatística, Universidade Federal de Pernambuco, Recife, PE, Brazil
  • Vasconcellos, K.L.P., Frery, A.C., Improving estimation for intensity SAR data (1998) Interstat., 4 (2), pp. 1-25
  • Yanasse, C.C.F., Frery, A.C., Santanna, 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. São José dos Campos, SP, Brazil
  • Yueh, S.H., Kong, J.A., Jao, J.K., Shin, R.T., Novak, L.M., K-distribution and polarimetric terrain radar clutter (1989) Journal of Electromagnetic Waves and Applications, 3, pp. 747-768
  • Yueh, S.H., Kong, J.A., Jao, J.K., Shin, R.T., Zebker, H.A., Le Toan, T., K-distribution and multi-frequency polarimetric terrain radar clutter (1991) Journal of Electromagnetic Waves and Applications, 5, pp. 1-15

Citas:

---------- APA ----------
Mejail, M.E., Jacobo-Berlles, J.C., Frery, A.C. & Bustos, O.H. (2003) . Classification of SAR images using a general and tractable multiplicative model. International Journal of Remote Sensing, 24(18), 3565-3582.
http://dx.doi.org/10.1080/0143116021000053274
---------- CHICAGO ----------
Mejail, M.E., Jacobo-Berlles, J.C., Frery, A.C., Bustos, O.H. "Classification of SAR images using a general and tractable multiplicative model" . International Journal of Remote Sensing 24, no. 18 (2003) : 3565-3582.
http://dx.doi.org/10.1080/0143116021000053274
---------- MLA ----------
Mejail, M.E., Jacobo-Berlles, J.C., Frery, A.C., Bustos, O.H. "Classification of SAR images using a general and tractable multiplicative model" . International Journal of Remote Sensing, vol. 24, no. 18, 2003, pp. 3565-3582.
http://dx.doi.org/10.1080/0143116021000053274
---------- VANCOUVER ----------
Mejail, M.E., Jacobo-Berlles, J.C., Frery, A.C., Bustos, O.H. Classification of SAR images using a general and tractable multiplicative model. Int. J. Remote Sens. 2003;24(18):3565-3582.
http://dx.doi.org/10.1080/0143116021000053274