SAR image processing using adaptive stack filter
Stack filters are a special case of non-linear filters. They have a good performance for filtering images with different types of noise while preserving edges and details. A stack filter decomposes an input image into several binary images according to a set of thresholds. Each binary image is filte...
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| Formato: | Capítulo de libro |
| Lenguaje: | Inglés |
| Publicado: |
2010
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| Acceso en línea: | Registro en Scopus DOI Handle Registro en la Biblioteca Digital |
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| LEADER | 07267caa a22008297a 4500 | ||
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| 001 | PAPER-8054 | ||
| 003 | AR-BaUEN | ||
| 005 | 20230518203751.0 | ||
| 008 | 190411s2010 xx ||||fo|||| 00| 0 eng|d | ||
| 024 | 7 | |2 scopus |a 2-s2.0-74649086416 | |
| 040 | |a Scopus |b spa |c AR-BaUEN |d AR-BaUEN | ||
| 100 | 1 | |a Buemi, M.E. | |
| 245 | 1 | 0 | |a SAR image processing using adaptive stack filter |
| 260 | |c 2010 | ||
| 270 | 1 | 0 | |m Buemi, M.E.; Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales, Departamento de Computación, Ciudad Universitaria, Pabellon I, C1428EGA Buenos Aires, Argentina; email: mebuemi@dc.uba.ar |
| 506 | |2 openaire |e Política editorial | ||
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| 504 | |a Dellamonica Jr., D., Silva, P.J.S., Humes Jr., C., Hirata, N.S.T., Barrera, J., An exact algorithm for optimal MAE stack filter design (2007) IEEE Trans. Image Process., 16 (2), pp. 453-462 | ||
| 504 | |a Diaz, D., Paredes, J.L., FPGA implementation of a new family of stack filters (2004) Proc. 5th IEEE Internat. Caracas Conf. on Devices, Circuits and Systems, 1, pp. 152-157 | ||
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| 504 | |a Frery, A.C., Correia, A.H., Rennó, C.D., Freitas, C.C., Jacobo-Berlles, J., Mejail, M.E., Vasconcellos, K.L.P., Sant'anna, S.J., Models for synthetic aperture radar image analysis (1999) Resenhas (IME-USP), 4 (1), pp. 45-77 | ||
| 504 | |a Frost, V.S., Stiles, J.A., Shanmugan, K.S., Holtzman, J.C., A model for radar images and its application to adaptive digital filtering of multiplicative noise (1982) IEEE Trans. Pattern Anal. Machine Intell., 4, pp. 157-166 | ||
| 504 | |a Goodman, J.W., Some fundamental properties of speckle (1976) J. Opt. Soc. Am., 66, pp. 1145-1150 | ||
| 504 | |a Lee, J.-S., Refined filtering of image noise using local statistics (1981) Comput. Graph. Image Process., 15 (4), pp. 380-389 | ||
| 504 | |a Lin, H.-J., Sellke, T.M., Coyle, E.J., Adaptive stack filtering under the mean absolute error criterion (1990) IEEE Trans. Acoust. Speech Signal Process., 38, pp. 938-954 | ||
| 504 | |a Lin, H.-J., Kim, Y.T., Fast algorithms for training stack filters (1994) IEEE Trans. Signal Process., 42 (3), pp. 772-781 | ||
| 504 | |a Lopés, A., Nezry, E., Touzi, R., Laur, H., Structure detection and statistical adaptive speckle filtering in SAR images (1993) Internat. J. Remote Sens., 14 (9), pp. 1735-1758 | ||
| 504 | |a Mejail, M.E., Jacobo-Berlles, J., Frery, A.C., Bustos, O.H., Classification of SAR images using a general and tractable multiplicative model (2003) Internat. J. Remote Sens., 24 (18), pp. 3565-3582 | ||
| 504 | |a Oliver, C., Quegan, S., (1998) Understanding Synthetic Aperture Radar Images, , Artech House | ||
| 504 | |a Paredes, J., Arce, G., Stack filters, stack smoothers, and mirrored threshold decomposition (1999) IEEE Trans. Signal Process., 47 (10), pp. 2757-2767 | ||
| 504 | |a Prasad, M.K., Stack filter design using selection probabilities (2005) IEEE Trans. Signal Process., 53 (3), pp. 1025-1037 | ||
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| 504 | |a Smith, D.M., Speckle reduction and segmentation of synthetic aperture radar images (1996) Internat. J. Remote Sens., 17 (11), pp. 2043-2057 | ||
| 504 | |a Wendt, P.D., Coyle, E.J., Gallangher Jr., N.C., Stack filters (1986) IEEE Trans. Acoust. Speech Signal Process., 34, pp. 898-911 | ||
| 504 | |a Yoo, J., Fong, K.L., Huang, J.-J., Coyle, E.J., Adams III, G.B., A fast algorithm for designing stack filters (1999) IEEE Trans. Image Process., 8 (8), pp. 772-781 | ||
| 520 | 3 | |a Stack filters are a special case of non-linear filters. They have a good performance for filtering images with different types of noise while preserving edges and details. A stack filter decomposes an input image into several binary images according to a set of thresholds. Each binary image is filtered by a Boolean function. The Boolean function that characterizes an adaptive stack filter is optimal and is computed from a pair of images consisting of an ideal noiseless image and its noisy version. In this work the behavior of adaptive stack filters on synthetic aperture radar (SAR) data is evaluated. With this aim, the equivalent number of looks for stack filtered data are calculated to assess the speckle noise reduction capability of this filter. Then a classification of simulated and real SAR images is carried out on data filtered with a stack filter trained with selected samples. The results of a maximum likelihood classification of these data are evaluated and compared with the results of classifying images previously filtered using the Lee and the Frost filters. © 2009 Elsevier B.V. All rights reserved. |l eng | |
| 593 | |a Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales, Departamento de Computación, Ciudad Universitaria, Pabellon I, C1428EGA Buenos Aires, Argentina | ||
| 690 | 1 | 0 | |a CLASSIFICATION |
| 690 | 1 | 0 | |a SPECKLE |
| 690 | 1 | 0 | |a STACK FILTERS |
| 690 | 1 | 0 | |a SYNTHETIC APERTURE RADAR |
| 690 | 1 | 0 | |a EQUIVALENT NUMBER OF LOOKS |
| 690 | 1 | 0 | |a INPUT IMAGE |
| 690 | 1 | 0 | |a MAXIMUM LIKELIHOOD CLASSIFICATIONS |
| 690 | 1 | 0 | |a NOISELESS IMAGES |
| 690 | 1 | 0 | |a NOISY VERSIONS |
| 690 | 1 | 0 | |a NONLINEAR FILTER |
| 690 | 1 | 0 | |a SAR IMAGE PROCESSING |
| 690 | 1 | 0 | |a SAR IMAGES |
| 690 | 1 | 0 | |a SPECKLE NOISE REDUCTION |
| 690 | 1 | 0 | |a STACK FILTERS |
| 690 | 1 | 0 | |a BINARY IMAGES |
| 690 | 1 | 0 | |a BOOLEAN FUNCTIONS |
| 690 | 1 | 0 | |a IMAGE CLASSIFICATION |
| 690 | 1 | 0 | |a IMAGING SYSTEMS |
| 690 | 1 | 0 | |a MAXIMUM LIKELIHOOD |
| 690 | 1 | 0 | |a SPECKLE |
| 690 | 1 | 0 | |a SYNTHETIC APERTURES |
| 690 | 1 | 0 | |a SYNTHETIC APERTURE RADAR |
| 650 | 1 | 7 | |2 spines |a RADAR |
| 700 | 1 | |a Jacobo, J. | |
| 700 | 1 | |a Mejail, M. | |
| 773 | 0 | |d 2010 |g v. 31 |h pp. 307-314 |k n. 4 |p Pattern Recogn. Lett. |x 01678655 |t Pattern Recognition Letters | |
| 856 | 4 | 1 | |u https://www.scopus.com/inward/record.uri?eid=2-s2.0-74649086416&doi=10.1016%2fj.patrec.2009.02.008&partnerID=40&md5=0bb95db5e72217475e4c375dd5754858 |y Registro en Scopus |
| 856 | 4 | 0 | |u https://doi.org/10.1016/j.patrec.2009.02.008 |y DOI |
| 856 | 4 | 0 | |u https://hdl.handle.net/20.500.12110/paper_01678655_v31_n4_p307_Buemi |y Handle |
| 856 | 4 | 0 | |u https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01678655_v31_n4_p307_Buemi |y Registro en la Biblioteca Digital |
| 961 | |a paper_01678655_v31_n4_p307_Buemi |b paper |c PE | ||
| 962 | |a info:eu-repo/semantics/article |a info:ar-repo/semantics/artículo |b info:eu-repo/semantics/publishedVersion | ||
| 999 | |c 69007 | ||