Artículo

Frulla, L.A.; Milovich, J.A.; Gagliardini, D.A. "Automatic computation of speckle standard deviation in SAR images" (2000) International Journal of Remote Sensing. 21(15):2883-2899
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Abstract:

Being a coherent reception system, Synthetic Aperture Radar (SAR) sensors are highly liable to speckle noise effect, which masks details and patterns in the image, and therefore, degrades interpretation. Speckling may be reduced by applying filtering techniques to SAR multilook images. The major problem that arises from this type of method is the estimation of input parameters: sliding window size and speckle standard deviation. The present paper describes a manual and two automatic methods devised to estimate speckle standard deviation based on the texture concept, in order to extract homogenous regions. The automatic method were specially developed to improve results obtained with the manual one, and the so-called least-squares approach and mean approach were considered. The mean approach was introduced as an alternative to the least-squares approach. It performs better in terms of computing time and disk space use, and even shows a slightly higher accuracy when tested against artificially speckled images. Manual and automatic methods were applied as an example using ERS-1/SAR one-look and three-look images with different features, obtained over several Austral and Antartic regions of Argentina. Results show that the automatic method is a valuable tool for estimating speckle standard deviation, being accurate, less tedious, and preventing typical human errors associated with manual tasks. © 2000 Taylor & Francis Group, LLC.

Registro:

Documento: Artículo
Título:Automatic computation of speckle standard deviation in SAR images
Autor:Frulla, L.A.; Milovich, J.A.; Gagliardini, D.A.
Filiación:Satellite Radiometry Division, COCICET, IAFE C.C. 67 Suc 28, Buenos Aires, 1428, Argentina
Palabras clave:filter; image analysis; synthetic aperture radar
Año:2000
Volumen:21
Número:15
Página de inicio:2883
Página de fin:2899
DOI: http://dx.doi.org/10.1080/01431160050121294
Título revista:International Journal of Remote Sensing
Título revista abreviado:Int. J. Remote Sens.
ISSN:01431161
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01431161_v21_n15_p2883_Frulla

Referencias:

  • Barbier, C., Renson, L., Deraüw, D., Mertens, O., Cantraine, G., Dendal, D., Destine, J., Marchand, J.L., Study and development of a SAR azimuth-compression-autofocussing processor based on ω-k seismic migration technique (1993) European Space Agency Journal, 17, pp. 357-371
  • Chic, O., Solè Sugrañes, L., (1994) SAR Imagery Segmentation and Speckle Reduction in the Ebro Delta Area, Spain, pp. 501-505. , Proceedings of the ERS-1 Pilot Project Workshop held in Toledo, Spain, on 22-24 June 1994, SP-365 (Paris: European Space Agency
  • Cortese, A., Frulla, L.A., Jacobo-Berlles, J., Mejail, M., Frery, A., (1994) On the Optimisation of Speckle Filtering Techniques for ERS-1 SAR Images over Agentina, pp. 95-99. , Proceedings of the International Society for Photogrammetry and Remote Sensing Commission VII. Symposium on Resource and Environment Monitoring held in Rio de Janeiro, Brazil, on 26-30 Septiembre 1994, 30, Part 7a (Rio de Janeiro: The National Institute of Space Research
  • Curlander, J.C., McDonough, R.N., (1991) Synthetic Aperture Radar. Systems and Signal Processing, , New York: John Wiley)
  • Frost, V.S., Stiles, J.A., Shanwugan, K.S., Holtzwan, J.C., A model for radar images and its application to adaptive digital filtering of multiplicative noise (1982) IEEE Transaction on Pattern Analysis and Machine Intelligence, 4, pp. 157-165
  • Frulla, L.A., Milovich, J.A., Gagliardini, D.A., (1995) Reduccion Del Speckle En Las imágenes SAR Del ERS-1 En La región Antártica, pp. 82-87. , Proceedings of La Antártica: Un Continente Revelado. Jornadas de Trabajo ERS-1 /SPOTheld in Ushuaía, Argentina, on 27-31 March 1995,11, no. 1-2 (Santiago de Chile: Latin American Society on Remote Sensing and Space Information Systems
  • Hörgan, G.W., Choosing weight functions for filtering SAR (1994) International Journal of Remote Sensing, 15, pp. 1053-1064
  • Jain, A.K., (1989) Fundamentals of Digital Image Processing, , New Jersey: Prentice Hall)
  • Kuan, D.T., Sawchuck, A.A., Strand, T.C., Chavel, P., Adaptive noise smoothing filter for images with signal-dependent noise (1985) IEEE Transaction on Pattern Analysis and Machine Intelligence, 7, pp. 165-177
  • Kuan, D.T., Sawchuck, A.A., Strand, T.C., Chavel, P., Adaptive restoration of images with speckle. IEEE Transactions on Acoustics (1987) Speech, and Signal Processing, 35, pp. 373-383
  • Lee, J.S., Digital image enhancement and noise filtering by use of local statistics (1980) IEEE Transaction on Pattern Analysis and Machine Intelligence, 2, pp. 165-168
  • Lee, J.S., Speckle analysis and smoothing of synthetic aperture radar images (1981) Computer Graphics and Image Processing, 17, pp. 24-32
  • Lee, J.S., Speckle suppression and analysis for SAR images (1986) Optical Engineering, 25, pp. 636-643
  • Li, C.H., Two adaptive filters for speckle reduction in SAR images by using the variance ratio (1988) International Journal of Remote Sensing, 9, pp. 641-653
  • Mascarenhas, N.D.A., Ono, S.E., Fernandes, D., Kux, H.J.H., (1991) A Comparative Study of Speckle Reduction Filters in SAR Images and Their Application for Classification Performance Improvement, , Presented at the 24th International Symposium on Remote Sensing of Environment held in Rio de Janeiro, Brazil, on 27-31 May 1991
  • Mastin, G.A., Adaptive filters for digital noise smoothing: An evaluation. Computer Vision (1985) Graphics and Image Processing, 31, pp. 103-121
  • Narasimha Rao, P.V., Vidyadhar, M.S.R.R., Malleswara Rao, T.C.H., Venkataratnam, L., An adaptive filter for speckle suppression in synthetic aperture radar images (1995) International Journal of Remote Sensing, 16, pp. 877-889
  • Schreier, G., (1993) SAR Geocoding: Data and Systems, , Germany: Wichmann
  • Ulaby, F.T., Moore, R.K., Fund, A.K., (1982) Microwave Remote Sensing. Active and Passive, 1-2. , New York: Addison-Wesley
  • Vass, P., Battrick, B., (1992) ESA ERS-1 Product specification—general Information, , ESA’s Technical Report, ESA SP-1149, June 1992, European Space Agency, Frascati

Citas:

---------- APA ----------
Frulla, L.A., Milovich, J.A. & Gagliardini, D.A. (2000) . Automatic computation of speckle standard deviation in SAR images. International Journal of Remote Sensing, 21(15), 2883-2899.
http://dx.doi.org/10.1080/01431160050121294
---------- CHICAGO ----------
Frulla, L.A., Milovich, J.A., Gagliardini, D.A. "Automatic computation of speckle standard deviation in SAR images" . International Journal of Remote Sensing 21, no. 15 (2000) : 2883-2899.
http://dx.doi.org/10.1080/01431160050121294
---------- MLA ----------
Frulla, L.A., Milovich, J.A., Gagliardini, D.A. "Automatic computation of speckle standard deviation in SAR images" . International Journal of Remote Sensing, vol. 21, no. 15, 2000, pp. 2883-2899.
http://dx.doi.org/10.1080/01431160050121294
---------- VANCOUVER ----------
Frulla, L.A., Milovich, J.A., Gagliardini, D.A. Automatic computation of speckle standard deviation in SAR images. Int. J. Remote Sens. 2000;21(15):2883-2899.
http://dx.doi.org/10.1080/01431160050121294