Comprehensive Survey on SAR Image Despeckling Techniques
نویسندگان
چکیده
منابع مشابه
Performance Analysis Survey of Various SAR Image Despeckling Techniques
Over the past four decades, the Synthetic Aperture Radar (SAR) imagery has become a beneficial and important application over the optical satellite imagery because of its ability to operate in any weather conditions. However, these images are affected with granular noise termed as Speckle noise. This noise affects the overall quality of the image adversely and hence hinders the observation of v...
متن کاملSAR Image Despeckling via Bivariate Shrinkage Based on Directionlet Transform
Synthetic aperture radar (SAR) images are inherently affected by multiplicative speckle noise, which is due to the coherent nature of the scattering phenomenon. A novel and efficient SAR image despeckling algorithm based on Directionlet transform using bivariate shrinkage is proposed to remove speckle noise while preserving the structural features and textural information of the scene. First, a...
متن کاملSar image despeckling based on nonlocal similarity sparse decomposition
This letter presents a method of synthetic aperture radar (SAR) image despeckling aimed to preserve the detail information while suppressing speckle noise. This method combines the nonlocal self-similarity partition and a proposed modified sparse decomposition. The nonlocal partition method groups a series of structure-similarity data sets. Each data set has a good sparsity for learning an over...
متن کاملAn Adaptive Sar Image Despeckling Algorithm Using Stationary Wavelet Transform
In this paper, we present a Stationary Wavelet Transform (SWT) based method for the purpose of despeckling the Synthetic Aperture radar (SAR) images by applying a maximum a posteriori probability (MAP) condition to estimate the noise free wavelet coefficients. The solution of the MAP estimator is based on the assumption that the wavelet coefficients have a known distribution. Rayleigh distribut...
متن کاملSAR Image Despeckling Using Quadratic-Linear Approximated L1-Norm
Speckle noise, inherent in synthetic aperture radar (SAR) images, degrades the performance of the various SAR image analysis tasks. Thus, speckle noise reduction is a critical preprocessing step for smoothing homogeneous regions while preserving details. This letter proposes a variational despeckling approach where `1-norm total variation regularization term is approximated in a quadratic and l...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Indian Journal of Science and Technology
سال: 2015
ISSN: 0974-5645,0974-6846
DOI: 10.17485/ijst/2015/v8i24/82651