NDLI: Sparsity-Promoted Blind Deconvolution of Ground-Penetrating Radar (GPR) Data

Content Provider	IEEE Xplore Digital Library
Author	Lianlin Li
Copyright Year	2004
Abstract	Over the past decades, numerous efforts have been attempted to enhance the temporal resolution and accuracy of subsurface ground-penetrating radar (GPR) data by means of blind deconvolution techniques. The fact that most of the source wavelets that are utilized in practical GPR exploration are nonminimum phase presents some challenges for the blind deconvolution of GPR data. This letter extends the classical minimum entropy deconvolution strategy and forms a general-purpose framework of the blind deconvolution of GPR data, which formulates the blind deconvolution of GPR data as a sparsity-promoted optimization problem with a scale-invariant regularizer. Another contribution of this letter is that an alternating iterative method is explored to solve the derived nonconvex optimization problem, where the constraint of max_t\|r(t)\| = 1 is introduced to avoid trapping into some local minimums. Selected examples are presented to demonstrate the accuracy and robustness of the proposed methodology. Primary results show that by applying such approach to the GPR data, we obtain images with significantly enhanced temporal resolution compared with the results of existing blind deconvolution schemes.
Sponsorship	IEEE Geoscience and Remote Sensing Society
Starting Page	1330
Ending Page	1334
Page Count	5
File Size	673212
File Format	PDF
ISSN	1545598X
Volume Number	11
Issue Number	8
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Ground penetrating radar Deconvolution Signal processing algorithms Iterative methods Higher order statistics Entropy Indexes sparse signal processing Blind deconvolution ground-penetrating radar (GPR) imaging higher order statistics minimum entropy deconvolution (MED)
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Geotechnical Engineering and Engineering Geology

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

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