Speckle filtering and texture analysis in SAR images

Hosomura, Tsukasa; Jayasekera, C.W.

doi:10.1109/igarss.1993.322731

Cited by 4 publications

(2 citation statements)

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“…Also complex processing has been proposed; as the speckle has a different power spectrum than the signal, they can be separated by an operator in the frequency domain [3]. Some of these operator perform better in smoothing speckle in homogeneous areas, others give superior results at the vicinity of edges, but the research in this area is still open [5,8,10]. Due to the inability of the Fourier theory to represent nonstationary signals, wavelet theory was developed and applied intensively also in image processing [7].…”

Section: Introductionmentioning

confidence: 99%

Speckle noise filtering in SAR images using wavelets

Böröczky

Fioravanti

et al. 1995

Image Analysis and Processing

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This paper presents a novel multiresolution wavelet-based algorithm for filtering SAR images in order to remove speckle noise. The basic idea is to apply to the wavelet coefficients a size-decreasing halfinterpolated median filter. The size of the median filter is adapted to the noise energy reduction between the image pyramid levels and different filter shapes are used in each wavelet subbands according to the dominant frequencies. Experimental results showed, that the proposed algorithm results in significant noise removal while the edges are preserved in the images.

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Section: Introductionmentioning

confidence: 99%

Speckle noise filtering in SAR images using wavelets

Böröczky

Fioravanti

et al. 1995

Image Analysis and Processing

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show abstract

“…The second pretreatment is the single image classification applied to both radar and optic images using a Fuzzy C-Means (FCM) algorithm [Wang, 1990]. Radar images are gamma MAP [Hosomura & Jayasekera, 1993] filtered before classification in Fig. 1.…”

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confidence: 99%