A novel subband decomposition based speckle noise reduction algorithm for SAR images

Gökhan Karasakal*, I. Erer

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

2 Atıf (Scopus)

Özet

A new speckle reduction algorithm based on subband decomposition and multiscale edge detection is presented. The subband decomposition is performed using a DFT/RDFT-based symmetric, zero-phase, nonoverlapping digital filter bank. The noisy images are decomposed into sub-images using RDFT transform based subband decomposition, an edge image is obtained for each level using these sub-images, then a threshold value is estimated according to noise variance in each subband and soft-thresholding is applied on the non-edge regions of the subband images. The despeckled image is obtained from the thresholded subband images using the inverse RDFT transform. The proposed speckle reduction method is applied to several test images corrupted by speckle noise as well as experimental RADARSAT/SAR images. Despeckled images show that this method has better performance than the case where no edge information is used.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıProceedings of the 3rd International Conference on Recent Advances in Space Technologies, RAST 2007
Sayfalar373-378
Sayfa sayısı6
DOI'lar
Yayın durumuYayınlandı - 2007
Etkinlik3rd International Conference on Recent Advances in Space Technologies, RAST 2007 - Istanbul, Turkey
Süre: 14 Haz 200716 Haz 2007

Yayın serisi

AdıProceedings of the 3rd International Conference on Recent Advances in Space Technologies, RAST 2007

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???event.eventtypes.event.conference???3rd International Conference on Recent Advances in Space Technologies, RAST 2007
Ülke/BölgeTurkey
ŞehirIstanbul
Periyot14/06/0716/06/07

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