NDLI: Stokes based sigma filter for despeckling of compact PolSAR data

Content Provider	IET Digital Library
Author	Sharma, Rakesh Panigrahi, Rajib Kumar
Abstract	In this study, a speckle filtering technique is proposed for coherent compact polarimetric synthetic aperture radar (PolSAR) data based on the statistics of Stokes parameters. The data processing and analysis of coherent compact PolSAR configurations usually start with Stokes vector representation of the data. In this study, the Stokes parameter statistics is discussed and validated, and a modified form of the state-of-the-art Lee sigma filter for compact PolSAR data is presented. Also, a novel algorithm for evaluation of sigma ranges as a function of the degree of polarisation and mean intensities is proposed. An approach based on the statistics of Stokes parameter g 1 for the distinction of homogeneous and heterogeneous areas is also presented in this study. The proposed technique is effective in speckle reduction, preservation of fine details, strong targets and scattering information. The m − χ decomposition with the proposed filter as a pre-processing step improves the land cover classification accuracy. The computational efficiency of the proposed filter is comparable to Lee sigma filter and hence the proposed filter is equally suitable for voluminous high resolution datasets. The results obtained from the developed speckle filter are validated for hybrid-PolSAR RISAT-1 data, hybrid-PolSAR data synthesised from RADARSAT-2 data and simulated PolSAR data by Monte Carlo simulation.
Starting Page	475
Ending Page	483
Page Count	9
ISSN	17518784
Volume Number	12
e-ISSN	17518792
Issue Number	Issue 4, Apr (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/12/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2017.0313
Journal	IET Radar, Sonar & Navigation
Publisher Date	2018-01-29
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Coherent Compact Polarimetric Synthetic Aperture Radar Data Coherent Compact PolSAR Configurations Compact PolSAR Data Despeckling Data Analysis Data Processing Earth Sciences Filtering Method in Signal Processing Filtering Theory Hybrid-PolSAR Data Hybrid-PolSAR RISAT-1 Data Land Cover Land Cover Classification Accuracy Lee Sigma Filter Mean Intensities Monte Carlo Simulation M−χ Decomposition Radar Equipment Radar Polarimetry Radar Signal Processing RADARSAT-2 Data Scattering Information Signal Classification Simulated PolSAR Data Speckle Speckle Reduction Statistical Analysis Statistics Stokes Based Sigma Filter Stokes Parameter Statistics Stokes Vector Representation System And Application Voluminous High Resolution Datasets
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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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
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