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Radar Image Processing Using Mean-Median Filter


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1 All Saint’s College of Technology, Bhopal, MP, India
     

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In image processing, image is corrupted by different type of noises. Synthetic aperture radar images are high resolution images of geographical areas, moving and stationary objects. The intensities of pixels in these images are based on the spatial orientation, roughness, and dielectric constant of the surface and object imaged. So, forming the images are challenging and refining them is difficult. Speckle noise is a significant disturbing factor for SAR image processing. Speckle noise is multiplicative noise, so it’s difficult to remove the multiplicative noise as compared to additive noise. So image de-noising has become a very essential exercise all through the diagnosis. In the present work modified Mean-Median filter with frost filter has been analyzed to overcome the noise.

Keywords

Frost Filter, GUM, Lee Filter, Mean Filter, Median Filter, SAR, Speckle Noise.
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  • Radar Image Processing Using Mean-Median Filter

Abstract Views: 199  |  PDF Views: 2

Authors

Varsha Guru
All Saint’s College of Technology, Bhopal, MP, India
Shailendra Singh Pawar
All Saint’s College of Technology, Bhopal, MP, India

Abstract


In image processing, image is corrupted by different type of noises. Synthetic aperture radar images are high resolution images of geographical areas, moving and stationary objects. The intensities of pixels in these images are based on the spatial orientation, roughness, and dielectric constant of the surface and object imaged. So, forming the images are challenging and refining them is difficult. Speckle noise is a significant disturbing factor for SAR image processing. Speckle noise is multiplicative noise, so it’s difficult to remove the multiplicative noise as compared to additive noise. So image de-noising has become a very essential exercise all through the diagnosis. In the present work modified Mean-Median filter with frost filter has been analyzed to overcome the noise.

Keywords


Frost Filter, GUM, Lee Filter, Mean Filter, Median Filter, SAR, Speckle Noise.