NDLI: Polarimetric SAR image despeckling using bandelet transform based on additive

Content Provider	IET Digital Library
Author	Roy, T. Sethunadh, R. Ameer, P. M.
Abstract	Efficient speckle filtering algorithms are required for the effective use of polarimetric synthetic aperture radar (SAR) technology in remote sensing and surveillance applications. Nevertheless many techniques have been proposed over the past two decades to decrease the speckle noise in polarimetric SAR images, they are all based on the multiplicative speckle noise model. In order to fully utilise the advantages of polarimetry of these images, an additive–multiplicative noise model is explored. Coupled with this, bandelet based Bayesian thresholding is used to tap the advantages of transform domain filtering. Here the elements of the covariance matrix are processed differently for diagonal and off-diagonal elements to achieve maximum benefits. The proposed filtering scheme is evaluated using airborne and spaceborne polarimetric images and compared against state-of-the-art techniques. Results indicate that the proposed method reduces the speckle content while retaining the geometrical features in these images.
Starting Page	293
Ending Page	296
Page Count	4
ISSN	00135194
Volume Number	56
e-ISSN	1350911X
Issue Number	Issue 6, Mar (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/56/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2019.2983
Journal	Electronics Letters
Publisher Date	2020-01-15
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Additive–multiplicative Noise Model Additive–multiplicative Speckle Model Airborne Image Bandelet Based Bayesian Thresholding Computer Vision And Image Processing Technique Efficient Speckle Filtering Method in Signal Processing Filtering Scheme Filtering Theory Image Denoising Instrumentation And Technique For Geophysical, Hydrospheric And Lower Atmosphere Research Multiplicative Speckle Noise Model Off-diagonal Element Optical, Image And Video Signal Processing Polarimetric SAR Image Polarimetric SAR Image Despeckling Polarimetric Synthetic Aperture Radar Technology Radar Equipment Radar Imaging Radar Polarimetry Remote Sensing Remote Sensing by Radar Spaceborne Polarimetric Image Speckle Speckle Content Statistics Surveillance Application Synthetic Aperture Radar System And Application Transform Domain Filtering
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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