Hybrid Laplacian Gaussian Based Speckle Removal in SAR Image Processing.

Synthetic Aperture Radar (SAR) images are plays a significant role in different application fields like airborne, civilian and to observe various scenarios over the horizon. Unfortunately, SAR images are heavily affected by speckle noise. The speckle degrades the image quality which makes interpreta...

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Publicado en:Journal of Medical Systems Vol. 43; no. 7; pp. 1 - 12
Autores principales: Sujitha, A. Glory, Vasuki, Dr. P., Deepan, A. Amala
Formato: equations & formulas pictorial tables/charts Journal Article
Publicado: Springer Nature Jul2019
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jul2019
      vid: 43
      iid: 7
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s10916-019-1299-0
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        atl: Hybrid Laplacian Gaussian Based Speckle Removal in SAR Image Processing.
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          Sujitha, A. Glory
          Vasuki, Dr. P.
          Deepan, A. Amala
        affil: Department of CSE, SSM Institute of Engineering and Technology, Dindigul, India
      sug:
        subj:
          Image Processing, Computer Assisted Methods
          Technology, Medical
          Telecommunications
          Noise
          Sensitivity and Specificity
          Spatial Perception
          Military Services
      ab: Synthetic Aperture Radar (SAR) images are plays a significant role in different application fields like airborne, civilian and to observe various scenarios over the horizon. Unfortunately, SAR images are heavily affected by speckle noise. The speckle degrades the image quality which makes interpretation of images harder. Therefore suppression of speckle is important for further processing. In this paper a new method is proposed for despeckling of SAR image comprises of two stages. First stage is despeckling process which is based on directional smoothing and hard thresholding technique and second stage is image enhancement process which is based on applying HLGF filter. The proposed work has been tested on and show remarkable performance over the existing system. The simulation results confirmed that achieving a better Peak Signal to Noise Ratio (PSNR), Speckle Suppression Index (SSI) compared with existing method.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        pictorial
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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