Suppression of speckle in synthetic aperture radar images using wavelet

Fukuda, Seisuke; Hirosawa, H.

doi:10.1080/014311698216125

Cited by 62 publications

(24 citation statements)

References 6 publications

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“…Experiments indicate, however, that there is always a tradeo V between smoothing out speckle and preserving the useful information content of SAR imagery (Shi and Fung 1994). When visual-natural appearance is added as the third requirement, speckle reduction lters that are well-balanced in these three criteria are few (Fukuda and Hirosawa 1998).…”

Section: Introductionmentioning

confidence: 99%

A novel method to reduce speckle in SAR images

Chen¹,

Guo²,

Dian³

2002

International Journal of Remote Sensing

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A novel three-step method to reduce speckle in Synthetic Aperture Radar (SAR) images is presented. First, an edge detector is used to detect the edge orientations in SAR images. Second, using a data processing method named empirical mode decomposition, the SAR image is smoothed along four directions: horizontal, vertical, left diagonal and right diagonal, respectively. Third, the SAR image is reconstructed such that if the edge direction is horizontal, the pixel smoothed along the horizontal direction is used to reconstruct the image, and so on; if an edge is not detected, the mean of the four directionally smoothed images is used to reconstruct the image. Application of this method to SAR images has shown that it is well balanced in the quality of visual appearance, mean preservation, edge preservation, and reduction of the standard deviation.

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Section: Introductionmentioning

confidence: 99%

A novel method to reduce speckle in SAR images

Chen¹,

Guo²,

Dian³

2002

International Journal of Remote Sensing

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“…The principles of speckle reduction are classified to five categories: 1. control of spatial coherence, 2. control of temporal coherence, 3. spatial sampling, 4. spatial averaging, and 5. digital signal processing (DSP) (Iwai and Asakura, 1996). Many filtering algorithms of DSP category have been developed to reduce speckle such as Lee (Lee, 1980), Enfrost, Kuan (Frost et al, 1982), Median, Gamma, Frost (Kuan et al, 1987), Fukunda and Hirosawa (1998) etc. Most commonly used speckle filters have good speckle-smoothing capabilities.…”

Section: Introductionmentioning

confidence: 99%

Despeckle and geographical feature extraction in SAR images by wavelet transform

Gupta

2007

ISPRS Journal of Photogrammetry and Remote Sensing

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“…There is a sizable body of research (too large to summarize here) on modeling and suppression of speckle (for example, see [62], [63], [64] and the survey by Touzi [65]). …”

Section: ) Speckle Noisementioning

confidence: 99%

Image change detection algorithms: a systematic survey

Radke

Andra

Al-Kofahi

et al. 2005

IEEE Trans. on Image Process.

1,618

790

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Detecting regions of change in multiple images of the same scene taken at different times is of widespread interest due to a large number of applications in diverse disciplines, including remote sensing, surveillance, medical diagnosis and treatment, civil infrastructure, and underwater sensing. This paper presents a systematic survey of the common processing steps and core decision rules in modern change detection algorithms, including significance and hypothesis testing, predictive models, the shading model, and background modeling. We also discuss important preprocessing methods, approaches to enforcing the consistency of the change mask, and principles for evaluating and comparing the performance of change detection algorithms. It is hoped that our classification of algorithms into a relatively small number of categories will provide useful guidance to the algorithm designer.

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Suppression of speckle in synthetic aperture radar images using wavelet

Cited by 62 publications

References 6 publications

A novel method to reduce speckle in SAR images

A novel method to reduce speckle in SAR images

Despeckle and geographical feature extraction in SAR images by wavelet transform

Image change detection algorithms: a systematic survey

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