An inexact proximal majorization-minimization algorithm for remote sensing image stripe noise removal

The stripe noise existing in remote sensing images badly degrades the visual quality and restricts the precision of data analysis. Therefore, many destriping models have been proposed in recent years. In contrast to these existing models, in this paper, we propose a nonconvex model with a DC functio...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Numerical algorithms Ročník 97; číslo 3; s. 1119 - 1139
Hlavní autori:	Wang, Chengjing, Zhao, Xile, Wang, Qingsong, Ma, Zepei, Tang, Peipei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.11.2024 Springer Nature B.V
Predmet:	Algebra Algorithms Computer Science Data analysis Image contrast Image degradation Image quality Noise Numeric Computing Numerical Analysis Optimization Original Paper Regularization methods Remote sensing Theory of Computation 90C20 Group sparsity Alternating direction method of multipliers 65K05 90C25 90C06 49M27 Remote sensing Proximal majorization-minimization algorithm
ISSN:	1017-1398, 1572-9265
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Abstract	The stripe noise existing in remote sensing images badly degrades the visual quality and restricts the precision of data analysis. Therefore, many destriping models have been proposed in recent years. In contrast to these existing models, in this paper, we propose a nonconvex model with a DC function (i.e., the difference of convex functions) structure to remove the strip noise. To solve this model, we make use of the DC structure and apply an inexact proximal majorization-minimization algorithm with each inner subproblem solved by the alternating direction method of multipliers. It deserves mentioning that we design an implementable stopping criterion for the inner subproblem, while the convergence can still be guaranteed. Numerical experiments demonstrate the superiority of the proposed model and algorithm.
AbstractList	The stripe noise existing in remote sensing images badly degrades the visual quality and restricts the precision of data analysis. Therefore, many destriping models have been proposed in recent years. In contrast to these existing models, in this paper, we propose a nonconvex model with a DC function (i.e., the difference of convex functions) structure to remove the strip noise. To solve this model, we make use of the DC structure and apply an inexact proximal majorization-minimization algorithm with each inner subproblem solved by the alternating direction method of multipliers. It deserves mentioning that we design an implementable stopping criterion for the inner subproblem, while the convergence can still be guaranteed. Numerical experiments demonstrate the superiority of the proposed model and algorithm.
Author	Ma, Zepei Wang, Chengjing Wang, Qingsong Tang, Peipei Zhao, Xile
Author_xml	– sequence: 1 givenname: Chengjing surname: Wang fullname: Wang, Chengjing organization: School of Mathematics, Southwest Jiaotong University – sequence: 2 givenname: Xile surname: Zhao fullname: Zhao, Xile organization: School of Mathematical Sciences/Research Center for Image and Vision Computing, University of Electronic Science and Technology of China – sequence: 3 givenname: Qingsong surname: Wang fullname: Wang, Qingsong organization: School of Mathematics and Computational Science, Xiangtan University – sequence: 4 givenname: Zepei surname: Ma fullname: Ma, Zepei organization: School of Mathematics, Southwest Jiaotong University – sequence: 5 givenname: Peipei surname: Tang fullname: Tang, Peipei email: tangpp@hzcu.edu.cn organization: Hangzhou City University
BookMark	eNp9kE9PAyEQxYmpiW31C3gi8YwCsy3LsWn8lzTxomfCbmdXml2osDXVTy-2Tbx5gje838zwJmTkg0dCrgW_FZyruyQEVzPGJTAuVAFMnpGxmCnJtJzPRvmey0yALi_IJKUN5xmTakxw4anzuLf1QLcx7F1vO9rbTYju2w4ueNY77_qToLZr88vw3tMmRBqxDwPShD4539LMtlkN0W2R-uASHhyftrsk543tEl6dzil5e7h_XT6x1cvj83KxYrVUfGAVKtC10nVVV2sLlRSWV9pqLAEsAiqOshC2RFvWugGoimY9n-ssJFe2QpiSm2Pf_JWPHabBbMIu-jzSgBBQqhIKnV3y6KpjSCliY7Yx7x6_jODmN05zjNPkOM0hTiMzBEcoZbNvMf61_of6AZc-fMc
Cites_doi	10.1007/s10107-007-0133-5 10.1007/s10107-016-1007-5 10.1016/j.neucom.2017.05.018 10.1109/TGRS.2011.2119399 10.1198/016214501753382273 10.1016/j.neucom.2014.01.010 10.1016/j.neucom.2012.08.056 10.1137/18M117337X 10.1109/TIP.2003.819861 10.1287/moor.2015.0735 10.1007/BFb0120929 10.1109/LSP.2013.2278339 10.1109/TGRS.2008.2005780 10.1007/s10107-011-0484-9 10.1007/978-3-030-82327-6 10.1515/9781400873173
ContentType	Journal Article
Copyright	The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
Copyright_xml	– notice: The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
DBID	AAYXX CITATION 8FE 8FG ABJCF AFKRA ARAPS AZQEC BENPR BGLVJ CCPQU DWQXO GNUQQ HCIFZ JQ2 K7- L6V M7S P62 PHGZM PHGZT PKEHL PQEST PQGLB PQQKQ PQUKI PRINS PTHSS
DOI	10.1007/s11075-023-01743-2
DatabaseName	CrossRef ProQuest SciTech Collection ProQuest Technology Collection SciTech Premium Collection ProQuest Central UK/Ireland Health Research Premium Collection ProQuest Central Essentials ProQuest Central Technology collection ProQuest One Community College ProQuest Central ProQuest Central Student SciTech Premium Collection ProQuest Computer Science Collection Computer Science Database ProQuest Engineering Collection Engineering Database ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Premium ProQuest One Academic ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) One Applied & Life Sciences ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central China Engineering collection
DatabaseTitle	CrossRef Computer Science Database ProQuest Central Student Technology Collection ProQuest One Academic Middle East (New) ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Essentials ProQuest Computer Science Collection SciTech Premium Collection ProQuest One Community College ProQuest Central China ProQuest Central ProQuest One Applied & Life Sciences ProQuest Engineering Collection ProQuest Central Korea ProQuest Central (New) Engineering Collection Advanced Technologies & Aerospace Collection Engineering Database ProQuest One Academic Eastern Edition ProQuest Technology Collection ProQuest SciTech Collection ProQuest One Academic UKI Edition Materials Science & Engineering Collection ProQuest One Academic ProQuest One Academic (New)
DatabaseTitleList	Computer Science Database
Database_xml	– sequence: 1 dbid: BENPR name: ProQuest Central url: https://www.proquest.com/central sourceTypes: Aggregation Database
DeliveryMethod	fulltext_linktorsrc
Discipline	Applied Sciences Mathematics Computer Science
EISSN	1572-9265
EndPage	1139
ExternalDocumentID	10_1007_s11075_023_01743_2
GrantInformation_xml	– fundername: National Natural Science Foundation of China grantid: U21A20169; 12171072 funderid: http://dx.doi.org/10.13039/501100001809 – fundername: Scientific Research Foundation of Zhejiang University City College grantid: X-202112 – fundername: National Key Research and Development Program of China grantid: 2020YFA0714001 – fundername: Open Research Fund Program of Data Recovery Key Laboratory of Sichuan Province grantid: DRN2302 – fundername: Zhejiang Provincial Natural Science Foundation of China grantid: LTGY23H240002
GroupedDBID	-4Z -59 -5G -BR -EM -Y2 -~C .86 .DC .VR 06D 0R~ 0VY 123 1N0 1SB 2.D 203 29N 2J2 2JN 2JY 2KG 2KM 2LR 2P1 2VQ 2~H 30V 4.4 406 408 409 40D 40E 5QI 5VS 67Z 6NX 8TC 8UJ 95- 95. 95~ 96X AAAVM AABHQ AACDK AAHNG AAIAL AAJBT AAJKR AANZL AAOBN AARHV AARTL AASML AATNV AATVU AAUYE AAWCG AAYIU AAYQN AAYTO AAYZH ABAKF ABBBX ABBXA ABDZT ABECU ABFTD ABFTV ABHLI ABHQN ABJCF ABJNI ABJOX ABKCH ABKTR ABMNI ABMQK ABNWP ABQBU ABQSL ABSXP ABTAH ABTEG ABTHY ABTKH ABTMW ABULA ABWNU ABXPI ACAOD ACBXY ACDTI ACGFS ACHSB ACHXU ACIWK ACKNC ACMDZ ACMLO ACOKC ACOMO ACPIV ACSNA ACZOJ ADHHG ADHIR ADIMF ADINQ ADKNI ADKPE ADRFC ADTPH ADURQ ADYFF ADZKW AEBTG AEFIE AEFQL AEGAL AEGNC AEJHL AEJRE AEKMD AEMSY AENEX AEOHA AEPYU AESKC AETLH AEVLU AEXYK AFBBN AFEXP AFGCZ AFKRA AFLOW AFQWF AFWTZ AFZKB AGAYW AGDGC AGGDS AGJBK AGMZJ AGQEE AGQMX AGRTI AGWIL AGWZB AGYKE AHAVH AHBYD AHKAY AHSBF AHYZX AIAKS AIGIU AIIXL AILAN AITGF AJBLW AJRNO AJZVZ ALMA_UNASSIGNED_HOLDINGS ALWAN AMKLP AMXSW AMYLF AMYQR AOCGG ARAPS ARMRJ ASPBG AVWKF AXYYD AYJHY AZFZN B-. BA0 BBWZM BDATZ BENPR BGLVJ BGNMA BSONS CAG CCPQU COF CS3 CSCUP DDRTE DL5 DNIVK DPUIP DU5 EBLON EBS EIOEI EJD ESBYG FEDTE FERAY FFXSO FIGPU FINBP FNLPD FRRFC FSGXE FWDCC GGCAI GGRSB GJIRD GNWQR GQ6 GQ7 GQ8 GXS H13 HCIFZ HF~ HG5 HG6 HMJXF HQYDN HRMNR HVGLF HZ~ I09 IHE IJ- IKXTQ ITM IWAJR IXC IZIGR IZQ I~X I~Z J-C J0Z JBSCW JCJTX JZLTJ K7- KDC KOV KOW LAK LLZTM M4Y M7S MA- N2Q N9A NB0 NDZJH NPVJJ NQJWS NU0 O9- O93 O9G O9I O9J OAM OVD P19 P2P P9O PF0 PT4 PT5 PTHSS QOK QOS R4E R89 R9I RHV RNI RNS ROL RPX RSV RZC RZE RZK S16 S1Z S26 S27 S28 S3B SAP SCJ SCLPG SCO SDH SDM SHX SISQX SJYHP SNE SNPRN SNX SOHCF SOJ SPISZ SRMVM SSLCW STPWE SZN T13 T16 TEORI TSG TSK TSV TUC U2A UG4 UOJIU UTJUX UZXMN VC2 VFIZW VOH W23 W48 WK8 YLTOR Z45 Z7R Z7X Z7Z Z81 Z83 Z88 Z8M Z8R Z8T Z8W Z92 ZMTXR ZY4 ~EX AAPKM AAYXX ABBRH ABDBE ABFSG ABRTQ ACSTC ADHKG AEZWR AFDZB AFFHD AFHIU AFOHR AGQPQ AHPBZ AHWEU AIXLP ATHPR AYFIA CITATION PHGZM PHGZT PQGLB 8FE 8FG AZQEC DWQXO GNUQQ JQ2 L6V P62 PKEHL PQEST PQQKQ PQUKI PRINS
ID	FETCH-LOGICAL-c270t-be739c79cbcbda3b21a0b9a9e833ae3e70e241a8ea8c9f33b4fd6698c9207abe3
IEDL.DBID	BENPR
ISICitedReferencesCount	1
ISICitedReferencesURI	http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001141305100002&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN	1017-1398
IngestDate	Wed Nov 05 07:09:43 EST 2025 Sat Nov 29 01:35:02 EST 2025 Fri Feb 21 02:40:15 EST 2025
IsPeerReviewed	true
IsScholarly	true
Issue	3
Keywords	90C20 Group sparsity Alternating direction method of multipliers 65K05 90C25 90C06 49M27 Remote sensing Proximal majorization-minimization algorithm
Language	English
LinkModel	DirectLink
MergedId	FETCHMERGED-LOGICAL-c270t-be739c79cbcbda3b21a0b9a9e833ae3e70e241a8ea8c9f33b4fd6698c9207abe3
Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14
PQID	3113878349
PQPubID	2043837
PageCount	21
ParticipantIDs	proquest_journals_3113878349 crossref_primary_10_1007_s11075_023_01743_2 springer_journals_10_1007_s11075_023_01743_2
PublicationCentury	2000
PublicationDate	20241100 2024-11-00 20241101
PublicationDateYYYYMMDD	2024-11-01
PublicationDate_xml	– month: 11 year: 2024 text: 20241100
PublicationDecade	2020
PublicationPlace	New York
PublicationPlace_xml	– name: New York
PublicationTitle	Numerical algorithms
PublicationTitleAbbrev	Numer Algor
PublicationYear	2024
Publisher	Springer US Springer Nature B.V
Publisher_xml	– name: Springer US – name: Springer Nature B.V
References	Attouch, Bolte, Svaiter (CR2) 2013; 137 Du, Zhang, Tao, Zhang (CR9) 2013; 120 Chen, Sun, Toh (CR5) 2017; 161 Condat (CR7) 2013; 20 CR18 Huang, Tang, Tan, Zhuang, Hou, Chen, Ren (CR13) 2022; 60 Fan, Li (CR11) 2017; 96 CR16 CR14 Robinson (CR15) 1981; 14 Wang, Bovik, Sheikh, Simoncelli (CR20) 2004; 13 Chen, Huang, Deng, Zhao, Wang (CR6) 2017; 267 Zhou, Chen, Gui, Li, Wang (CR21) 2022; 60 Shen, Zhang (CR17) 2009; 47 Facchinei, Pang (CR10) 2003 Bolte, Pauwels (CR3) 2016; 41 Huang, Huang (CR12) 2014; 136 Attouch, Bolte (CR1) 2009; 116 Tang, Wang, Sun, Toh (CR19) 2020; 21 Bouali, Ladjal (CR4) 2011; 49 Cui, Pang, Sen (CR8) 2018; 28 J Bolte (1743_CR3) 2016; 41 H Huang (1743_CR13) 2022; 60 J Fan (1743_CR11) 2017; 96 F Facchinei (1743_CR10) 2003 Z Wang (1743_CR20) 2004; 13 P Tang (1743_CR19) 2020; 21 B Du (1743_CR9) 2013; 120 H Attouch (1743_CR2) 2013; 137 M Bouali (1743_CR4) 2011; 49 1743_CR18 H Attouch (1743_CR1) 2009; 116 S Robinson (1743_CR15) 1981; 14 H Shen (1743_CR17) 2009; 47 1743_CR16 1743_CR14 Y Cui (1743_CR8) 2018; 28 Y Chen (1743_CR6) 2017; 267 H Huang (1743_CR12) 2014; 136 L Chen (1743_CR5) 2017; 161 G Zhou (1743_CR21) 2022; 60 L Condat (1743_CR7) 2013; 20
References_xml	– volume: 116 start-page: 5 year: 2009 end-page: 16 ident: CR1 article-title: On the convergence of the proximal algorithm for nonsmooth functions involving analytic features publication-title: Math. Program. doi: 10.1007/s10107-007-0133-5 – ident: CR18 – ident: CR14 – volume: 161 start-page: 237 year: 2017 end-page: 270 ident: CR5 article-title: An efficient inexact symmetric Gauss-Seidel based majorized ADMM for high-dimensional convex composite conic programming publication-title: Math. Program. doi: 10.1007/s10107-016-1007-5 – volume: 267 start-page: 95 year: 2017 end-page: 106 ident: CR6 article-title: Group sparsity based regularization model for remote sensing image stripe noise removal publication-title: Neurocomputing doi: 10.1016/j.neucom.2017.05.018 – ident: CR16 – volume: 49 start-page: 2924 issue: 8 year: 2011 end-page: 2935 ident: CR4 article-title: Toward optimal destriping of MODIS data using a unidirectional variational model publication-title: IEEE Trans. Geosci. Remote Sens. doi: 10.1109/TGRS.2011.2119399 – volume: 96 start-page: 1348 issue: 456 year: 2017 end-page: 1360 ident: CR11 article-title: Variable selection via nonconcave penalized likelihood and its oracle properties publication-title: J. Am. Stat. Assoc. doi: 10.1198/016214501753382273 – volume: 136 start-page: 224 year: 2014 end-page: 234 ident: CR12 article-title: Improved discriminant sparsity neighborhood preserving embedding for hyperspectral image classification publication-title: Neurocomputing doi: 10.1016/j.neucom.2014.01.010 – volume: 120 start-page: 72 year: 2013 end-page: 82 ident: CR9 article-title: Unsupervised transfer learning for target detection from hyperspectral images publication-title: Neurocomputing doi: 10.1016/j.neucom.2012.08.056 – year: 2003 ident: CR10 publication-title: Finite-dimensional variational inequalities and complementarity problems – volume: 60 start-page: 1 year: 2022 end-page: 15 ident: CR21 article-title: Split depth-wise separable graph-convolution network for road extraction in complex environments from high-resolution remote-sensing images publication-title: IEEE Trans. Geosci. Remote Sens. – volume: 28 start-page: 3344 issue: 4 year: 2018 end-page: 3374 ident: CR8 article-title: Composite difference-max programs for modern statistical estimation problems publication-title: SIAM J. Optim. doi: 10.1137/18M117337X – volume: 21 start-page: 1 year: 2020 end-page: 38 ident: CR19 article-title: A sparse semismooth newton based proximal majorization-minimization algorithm for nonconvex square-root-loss regression problems publication-title: J. Mach. Learn. Res. – volume: 60 start-page: 1 year: 2022 end-page: 13 ident: CR13 article-title: Object-based attention mechanism for color calibration of UAV remote sensing images in precision agriculture publication-title: IEEE Trans. Geosci. Remote Sens. – volume: 13 start-page: 600 issue: 4 year: 2004 end-page: 612 ident: CR20 article-title: Image quality assessment: from error visibility to structural similarity publication-title: IEEE Trans. Image Process. doi: 10.1109/TIP.2003.819861 – volume: 41 start-page: 442 issue: 2 year: 2016 end-page: 465 ident: CR3 article-title: Majorization-minimization procedures and convergence of SQP methods for semi-algebraic and tame programs publication-title: Math. Oper. Res. doi: 10.1287/moor.2015.0735 – volume: 14 start-page: 206 year: 1981 end-page: 214 ident: CR15 article-title: Some continuity properties of polyhedral multifunctions publication-title: Math. Program. Study doi: 10.1007/BFb0120929 – volume: 20 start-page: 1054 issue: 11 year: 2013 end-page: 1057 ident: CR7 article-title: A direct algorithm for 1-D total variation denoising publication-title: IEEE Signal Process. Lett. doi: 10.1109/LSP.2013.2278339 – volume: 47 start-page: 1492 issue: 5 year: 2009 end-page: 1502 ident: CR17 article-title: A map-based algorithm for destriping and inpainting of remotely sensed images publication-title: IEEE Trans. Geosci. Remote Sens. doi: 10.1109/TGRS.2008.2005780 – volume: 137 start-page: 91 year: 2013 end-page: 129 ident: CR2 article-title: Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward-backward splitting, and regularized Gauss-Seidel methods publication-title: Math. Program. doi: 10.1007/s10107-011-0484-9 – ident: 1743_CR18 – volume: 13 start-page: 600 issue: 4 year: 2004 ident: 1743_CR20 publication-title: IEEE Trans. Image Process. doi: 10.1109/TIP.2003.819861 – volume: 21 start-page: 1 year: 2020 ident: 1743_CR19 publication-title: J. Mach. Learn. Res. – volume: 49 start-page: 2924 issue: 8 year: 2011 ident: 1743_CR4 publication-title: IEEE Trans. Geosci. Remote Sens. doi: 10.1109/TGRS.2011.2119399 – volume: 47 start-page: 1492 issue: 5 year: 2009 ident: 1743_CR17 publication-title: IEEE Trans. Geosci. Remote Sens. doi: 10.1109/TGRS.2008.2005780 – volume: 60 start-page: 1 year: 2022 ident: 1743_CR21 publication-title: IEEE Trans. Geosci. Remote Sens. – volume: 161 start-page: 237 year: 2017 ident: 1743_CR5 publication-title: Math. Program. doi: 10.1007/s10107-016-1007-5 – ident: 1743_CR14 doi: 10.1007/978-3-030-82327-6 – ident: 1743_CR16 doi: 10.1515/9781400873173 – volume: 20 start-page: 1054 issue: 11 year: 2013 ident: 1743_CR7 publication-title: IEEE Signal Process. Lett. doi: 10.1109/LSP.2013.2278339 – volume: 96 start-page: 1348 issue: 456 year: 2017 ident: 1743_CR11 publication-title: J. Am. Stat. Assoc. doi: 10.1198/016214501753382273 – volume: 14 start-page: 206 year: 1981 ident: 1743_CR15 publication-title: Math. Program. Study doi: 10.1007/BFb0120929 – volume: 120 start-page: 72 year: 2013 ident: 1743_CR9 publication-title: Neurocomputing doi: 10.1016/j.neucom.2012.08.056 – volume: 116 start-page: 5 year: 2009 ident: 1743_CR1 publication-title: Math. Program. doi: 10.1007/s10107-007-0133-5 – volume: 137 start-page: 91 year: 2013 ident: 1743_CR2 publication-title: Math. Program. doi: 10.1007/s10107-011-0484-9 – volume-title: Finite-dimensional variational inequalities and complementarity problems year: 2003 ident: 1743_CR10 – volume: 60 start-page: 1 year: 2022 ident: 1743_CR13 publication-title: IEEE Trans. Geosci. Remote Sens. – volume: 28 start-page: 3344 issue: 4 year: 2018 ident: 1743_CR8 publication-title: SIAM J. Optim. doi: 10.1137/18M117337X – volume: 267 start-page: 95 year: 2017 ident: 1743_CR6 publication-title: Neurocomputing doi: 10.1016/j.neucom.2017.05.018 – volume: 41 start-page: 442 issue: 2 year: 2016 ident: 1743_CR3 publication-title: Math. Oper. Res. doi: 10.1287/moor.2015.0735 – volume: 136 start-page: 224 year: 2014 ident: 1743_CR12 publication-title: Neurocomputing doi: 10.1016/j.neucom.2014.01.010
SSID	ssj0010027
Score	2.3731225
Snippet	The stripe noise existing in remote sensing images badly degrades the visual quality and restricts the precision of data analysis. Therefore, many destriping...
SourceID	proquest crossref springer
SourceType	Aggregation Database Index Database Publisher
StartPage	1119
SubjectTerms	Algebra Algorithms Computer Science Data analysis Image contrast Image degradation Image quality Noise Numeric Computing Numerical Analysis Optimization Original Paper Regularization methods Remote sensing Theory of Computation
SummonAdditionalLinks	– databaseName: SpringerLink Core Collection dbid: RSV link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV07T8MwELZQYYCBQgFRKMgDG0RK4jSOxwpRsVAh8VC3yHYvpYikKAmIn885cRqBYIDRj5win333ne5FyBkMZYhaLnAkC10nEKHnqEAwE0wlh8C1YqxuNsEnk2g6Fbc2Kaxoot0bl2QlqdtkN7RUTDaxif8xhTVR8K4PTbUZY6PfPa58B8bSqnycKH8R30Q2VeZnGl_VUYsxv7lFK20z7v7vP3fItkWXdFRfh12yBlmPdC3SpPYdFzjVNHNo5npk62ZVwLXYIzDKKOLPD6lLaiJdFimSTeXzMrd5m46pSZLaAZUvc1wpn1KKGJjmgPwHWpjY-GxO8ds5jkoUT0Cz5aKAagde8X3yML66v7x2bEcGR_vcLR0FnAnNhVZazSRTviddJaSAiDEJDLgLiAhkBDLSImFMBcksDAUOfJdLBeyAdLJlBoeEBgFIgdYcMCEDMYtU4gpfck_oBEGVDvvkvGFM_FoX3ojbEsvmiGM84rg64tjvk0HDu9g-wiJmnsci00hE9MlFw6t2-XdqR3_bfkw2fYQ6dYbigHTK_A1OyIZ-LxdFflpdzk-_st-u priority: 102 providerName: Springer Nature
Title	An inexact proximal majorization-minimization algorithm for remote sensing image stripe noise removal
URI	https://link.springer.com/article/10.1007/s11075-023-01743-2 https://www.proquest.com/docview/3113878349
Volume	97
WOSCitedRecordID	wos001141305100002&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText	1
inHoldings	1
isFullTextHit
isPrint
journalDatabaseRights	– providerCode: PRVAVX databaseName: Springer Online Journals customDbUrl: eissn: 1572-9265 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0010027 issn: 1017-1398 databaseCode: RSV dateStart: 19970101 isFulltext: true titleUrlDefault: https://link.springer.com/search?facet-content-type=%22Journal%22 providerName: Springer Nature
link	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1LS8QwEB58HfTgW1wfSw7eNNg2tWlOoqII4iK-8FaS7Oy64nZ1W8Wf76TNuijoxUshpE0D32TyJfMC2MEDndAuF3MtkoDHKgm5iZVwzlT6AKU1QtTFJmSrlT48qCt_4VZ4t8qRTqwUdXtg3R35vghDkbqqEOrw5ZW7qlHOuupLaEzCtMtURnI-fXzaurr-siO4U1dl7yRdTFwn9WEzdfAcnXxcdLLzJ3KJOqPvW9OYb_4wkVY7z9nCf-e8CPOec7KjWkiWYALzZVjw_JP51V0sw9zlVw7XYgXwKGdEQT-0LZlzdun1aYy-fqIf1KGb3KUl6fsG089d6ikf-4xoMBsiiQCywrnH511G33apVZKGQpYPegVWb5CUr8Ld2entyTn3RRm4jWRQcoNSKCuVNda0tTBRqAOjtMJUCI0CZYBECnSKOrWqI4SJO-0kUdSIAqkNijWYygc5rgOLY9SKDnQolI5VOzWdQEVahsp2iFfZpAG7Izyylzr3RjbOsuzQywi9rEIvixqwNQIh8-uwyMYINGBvBOO4-_fRNv4ebRNmI2I3dVDiFkyVwzfchhn7XvaKYdNLYRMmLyRvOnfSG3pe39x_AmCO578
linkProvider	ProQuest
linkToHtml	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1LT9tAEB5BggQcSKFFTZvSPdBTa9Xe3djeQ1UFCgIBEaqoxM3d3UxCUONA7EL7p_iNnfWDCKT2xqHH1dojrWd25hvPC2AbuzokKyc9LULfkyoMPCOVcMlUuouRNUKUwyaifj8-P1enC3BX18K4tMpaJxaKejC17h_5RxEEInZTIdTnq2vPTY1y0dV6hEYpFkf4-5ZctuzT4Rfi7zvO9_fOdg-8aqqAZ3nk557BSCgbKWusGWhheKB9o7TCWAiNAiMfyarpGHVs1VAII4eDMFS04H6kDQqiuwhNKWTYbUBzZ69_-vU-buG8vCK-SrqfsFVclemUxXrkablqaJe_5BqD8oemcI5vH4VkC0u33_rfvtEzWKswNeuVl2AdFjDdgFaFr1mlvbINWD2571GbPQfspYwg9i9tc-aSecYTojHRl3SgsjTVc21XJtWC6R8j2skvJoxgPpshiTiyzKX_pyNG745olZMGRpZOxxkWT9AtfgHfnuTom9BIpym-BCYlakUOKwqlpRrEZugrrqNA2SHhRhu24X3N_-Sq7C2SzLtIO2lJSFqSQloS3oZOzfSk0jNZMud4Gz7UYjPf_ju1V_-m9haWD85OjpPjw_7Ra1jhhOTKAswONPLZT3wDS_YmH2ezreoGMPj-1AL1B7HrROY
linkToPdf	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1LT8MwDLYQIAQHHgPEeObADSrapmub4wRMIGBCvLRblWTuGGLdtBbEz8fpgwGCA-IYJ42qxHG-yP5sgH1sSJ9uOc-S3LctT_iOpTzBTTCVbGCgFedFsYmg3Q47HXH9icWfR7tXLsmC02CyNCXZ0agbH02Ib_RqMcxiEwtkkmySEZ7xSGaCum5uHz78CObVlfs7yRYT1glL2szPc3y9miZ485uLNL95Wkv__-dlWCxRJ2sWarICU5jUYKlEoKw83ymJqiIPlawGC1cfiV3TVcBmwgiXvkmdMRMB0x_QtAP5NByXfE7L5CoZlA0mn3vUkz0OGGFjNkbSC2SpiZlPeoy-7VErI7OFLBn2U8xHkOqvwX3r9O74zCorNVjaDezMUhhwoQOhlVZdyZXrSFsJKTDkXCLHwEZCCjJEGWoRc668uOv7ghquHUiFfB2mk2GCG8A8D6WgVx5yIT3RDVVsC1cGjtAxgS3t1-Gg2qRoVCTkiCapl80SR7TEUb7EkVuH7Wofo_JwphF3HB6aAiOiDofVvk26f59t82_D92Du-qQVXZ63L7Zg3iU0VJAYt2E6G7_gDszq16yfjndznX0HrA7rdg
openUrl	ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=An+inexact+proximal+majorization-minimization+algorithm+for+remote+sensing+image+stripe+noise+removal&rft.jtitle=Numerical+algorithms&rft.au=Wang%2C+Chengjing&rft.au=Zhao%2C+Xile&rft.au=Wang%2C+Qingsong&rft.au=Ma%2C+Zepei&rft.date=2024-11-01&rft.pub=Springer+Nature+B.V&rft.issn=1017-1398&rft.eissn=1572-9265&rft.volume=97&rft.issue=3&rft.spage=1119&rft.epage=1139&rft_id=info:doi/10.1007%2Fs11075-023-01743-2
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1017-1398&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1017-1398&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1017-1398&client=summon