NDLI: An Improved SAR Image Denoising Method Based on Bootstrap Statistical Estimation with ICA Basis

Content Provider	IET Digital Library
Author	Ji, Jian Li, Yang
Abstract	A new method for Synthetic aperture radar (SAR) image denoising is proposed. The prior information of speckle statistical model can be exploited to judge its distribution. The basis of SAR image can be estimated by Independent component analysis (ICA), and these bases can be divided into two different subspaces (noise and real signal subspaces) through a linear classifier. Then parametric Bootstrap estimates the parameters of speckle statistical model on the noise signal subspace, and the nonparametric Bootstrap can estimate the distribution of real image on the real signal subspace. According to different results estimated by Bootstrap, corresponding Maximum a posterior probability (MAP) filter will be selected for image denoising, using the noise model's parameter for adaptive filtering. Experiments show that the image processed by this new method can achieve a better visual perception and objective evaluation results.
Starting Page	786
Ending Page	792
Page Count	7
ISSN	10224653
Volume Number	25
e-ISSN	20755597
Issue Number	Issue 4, Jul (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/cje/25/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/cje.2016.06.040
Journal	Chinese Journal of Electronics
Publisher Date	2016-07-01
Access Restriction	Open
Rights Holder	© Chinese Institute of Electronics
Subject Keyword	Adaptive Filter Adaptive Filtering Bootstrap Statistical Estimation Filtering Method in Signal Processing ICA Basis Image Denoising Improved SAR Image Denoising Method Independent Component Analysis MAP Filter Maximum A Posterior Probability Filter Maximum Likelihood Estimation Noise Signal SubSpace Radar Equipment Radar Imaging Speckle Statistical Model Statistics Synthetic Aperture Radar Synthetic Aperture Radar Image Denoising System And Application
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Electrical and Electronic Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

SAR image despeckling using plug-and-play ADMM

Efficient modelling of SAR texture with a gamma-inverse gamma distribution for MAP-based speckle suppression

Fine logarithmic adaptive soft morphological algorithm for synthetic aperture radar image segmentation

SAR image denoising method based on sparse representation

Improved anisotropic diffusion filtering for SAR image despeckling

Improved patch-based NLM PolSAR speckle filter based on iteratively re-weighted least squares method

Improved phase curvature autofocus for stripmap synthetic aperture radar imaging

Directionally Adaptive Filter for Synthetic Aperture Radar Interferometric Phase Images

Despeckling algorithm for reducing speckle noise in images generated from active sensors

An Improved SAR Image Denoising Method Based on Bootstrap Statistical Estimation with ICA Basis

Similar Documents

SAR image despeckling using plug-and-play ADMM

Efficient modelling of SAR texture with a gamma-inverse gamma distribution for MAP-based speckle suppression

Fine logarithmic adaptive soft morphological algorithm for synthetic aperture radar image segmentation

SAR image denoising method based on sparse representation

Improved anisotropic diffusion filtering for SAR image despeckling

Improved patch-based NLM PolSAR speckle filter based on iteratively re-weighted least squares method

Improved phase curvature autofocus for stripmap synthetic aperture radar imaging

Directionally Adaptive Filter for Synthetic Aperture Radar Interferometric Phase Images

Despeckling algorithm for reducing speckle noise in images generated from active sensors

An Improved SAR Image Denoising Method Based on Bootstrap Statistical Estimation with ICA Basis