A multi-filtering approach to adaptive speckle reduction in textured SAR images (Contributo in atti di convegno)

Type
Label
  • A multi-filtering approach to adaptive speckle reduction in textured SAR images (Contributo in atti di convegno) (literal)
Anno
  • 1997-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1117/12.290277 (literal)
Alternative label
  • B. Aiazzi; L. Alparone; S. Baronti; R. Carlà; S. Lolli (1997)
    A multi-filtering approach to adaptive speckle reduction in textured SAR images
    in SPIE Annual Meeting 1997: Statistical and Stochastic Methods in Image Processing II, San Diego, CA, USA, 30 Luglio-1 Agosto 1997
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • B. Aiazzi; L. Alparone; S. Baronti; R. Carlà; S. Lolli (literal)
Pagina inizio
  • 13 (literal)
Pagina fine
  • 22 (literal)
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  • http://spiedigitallibrary.org/proceedings/resource/2/psisdg/3167/1/13_1?isAuthorized=no (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • Proceedings of the 42nd SPIE Annual Meeting: Statistical and Stochastic Methods in Image Processing II (literal)
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  • 3167 (literal)
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  • 3167 (literal)
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  • 10 (literal)
Note
  • ISI Web of Science (WOS) (literal)
  • Scopu (literal)
  • Google Scholar (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • \"Nello Carrara\" Research Institute on Electromagnetic Waves IROE-CNR, Via Panciatichi,64, I-50127 Firenze, Italy Department of Electronical Engineering, University of Florence, Via S. Marta, 3, I-50139 Firenze, Italy \"Nello Carrara\" Research Institute on Electromagnetic Waves IROE-CNR, Via Panciatichi,64, I-50127 Firenze, Italy \"Nello Carrara\" Research Institute on Electromagnetic Waves IROE-CNR, Via Panciatichi,64, I-50127 Firenze, Italy \"Nello Carrara\" Research Institute on Electromagnetic Waves IROE-CNR, Via Panciatichi,64, I-50127 Firenze, Italy (literal)
Titolo
  • A multi-filtering approach to adaptive speckle reduction in textured SAR images (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 0-8194-2589-3 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
  • F. Preteux; J. L. Davidson; E. R. Dougherty (literal)
Abstract
  • Speckle reduction in synthetic aperture radar (SAR) images is a key point to facilitate applicative tasks. A filter aimed at speckle reduction should energetically smooth homogeneous regions, while preserving point targets, edges, and linear features. A tradeoff, however, should be arranged on textured areas. Filtering capabilities depend on local image characteristics, and generally no filter outperforms the others in every situation. In this work, a set of adaptive filters is considered with attention to those oriented towards a multiresolution approach. Images are individually processed by each filter, and the output at each pixel position is obtained by choosing one out of the channels. The selection is based on thresholding local features accounting for both space-varying statistics and geometry. Results on true SAR images show that also an empirical choice of thresholds is noncritical: the novel scheme outperforms each filter individually, at least according to visual criteria. (literal)
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