Spatial resolution enhancement of SSM/I data

One of the limitations in using Special Sensor Microwave/Imager (SSM/I) data for land and vegetation studies is the relatively low-spatial resolution. To ameliorate this limitation, resolution-enhancement algorithms can be applied to the data. In this paper, the Backus-Gilbert inversion (BGI) techni...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on geoscience and remote sensing Jg. 36; H. 2; S. 407 - 417
Hauptverfasser: Long, D.G., Daum, D.L.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York, NY IEEE 01.03.1998
Institute of Electrical and Electronics Engineers
Schlagworte:
Antenna measurements
Applied geophysics
Atmospheric measurements
Brightness
Directive antennas
Earth sciences
Earth, ocean, space
Exact sciences and technology
Ice
Image resolution
Internal geophysics
Radar measurements
Radiometers
Spatial resolution
Vegetation
Brazil
Guyana
Amazon River
South America
algorithms
Space remote sensing
vegetation
digital simulation
microwave methods
image reconstruction
image analysis
deconvolution
reconstruction
spatial resolution
correlation coefficient
deltas
ISSN:0196-2892
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Abstract One of the limitations in using Special Sensor Microwave/Imager (SSM/I) data for land and vegetation studies is the relatively low-spatial resolution. To ameliorate this limitation, resolution-enhancement algorithms can be applied to the data. In this paper, the Backus-Gilbert inversion (BGI) technique and the scatterometer image-reconstruction (SIR) algorithm are investigated as possible methods for creating enhanced resolution images from SSM/I data. The two algorithms are compared via both the simulation and the actual SSM/I data. The algorithms offer similar resolution enhancement, though SIR requires significantly less computation. Sample results over two land regions of South America are presented.
AbstractList One of the limitations in using Special Sensor Microwave/Imager (SSM/I) data for land and vegetation studies is the relatively low-spatial resolution. To ameliorate this limitation, resolution-enhancement algorithms can be applied to the data. In this paper, the Backus-Gilbert inversion (BGI) technique and the scatterometer image-reconstruction (SIR) algorithm are investigated as possible methods for creating enhanced resolution images from SSM/I data. The two algorithms are compared via both the simulation and the actual SSM/I data. The algorithms offer similar resolution enhancement, though SIR requires significantly less computation. Sample results over two land regions of South America are presented. (Author)
One of the limitations in using Special Sensor Microwave/Imager (SSM/I) data for land and vegetation studies is the relatively low-spatial resolution. To ameliorate this limitation, resolution-enhancement algorithms can be applied to the data. In this paper, the Backus-Gilbert inversion (BGI) technique and the scatterometer image-reconstruction (SIR) algorithm are investigated as possible methods for creating enhanced resolution images from SSM/I data. The two algorithms are compared via both the simulation and the actual SSM/I data. The algorithms offer similar resolution enhancement, though SIR requires significantly less computation. Sample results over two land regions of South America are presented
One of the limitations in using Special Sensor Microwave/Imager (SSM/I) data for land and vegetation studies is the relatively low-spatial resolution. To ameliorate this limitation, resolution-enhancement algorithms can be applied to the data. In this paper, the Backus-Gilbert inversion (BGI) technique and the scatterometer image-reconstruction (SIR) algorithm are investigated as possible methods for creating enhanced resolution images from SSM/I data. The two algorithms are compared via both the simulation and the actual SSM/I data. The algorithms offer similar resolution enhancement, though SIR requires significantly less computation. Sample results over two land regions of South America are presented.
Author Long, D.G.
Daum, D.L.
Author_xml – sequence: 1
  givenname: D.G.
  surname: Long
  fullname: Long, D.G.
  organization: Brigham Young Univ., Provo, UT, USA
– sequence: 2
  givenname: D.L.
  surname: Daum
  fullname: Daum, D.L.
BackLink http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=2202729$$DView record in Pascal Francis
BookMark eNqF0T1PwzAQBmAPRaItDKxMGRASEmltx7GdEVV8VCpiKMzWxTkLozQpdjrw70mVwoCQOpxuuOdueG9CRk3bICEXjM4Yo8U8kzMpueJyRMaUFTLluuCnZBLjB6VM5EyNye16C52HOgkY23rX-bZJsHmHxuIGmy5pXbJeP8-XSQUdnJETB3XE80OfkreH-9fFU7p6eVwu7lapzaTuUmRcC03LktkSFVCbZ6XMhUStHKWVQlc66bQSAioNoiwrwXRfQuYViByzKbke7m5D-7nD2JmNjxbrGhpsd9HwguZcZ_Q41FIyxtVxKDVVgskeXh0gRAu1C30SPppt8BsIX4Zz2gda9Gw-MBvaGAM6Y30H-_S6AL42jJr9C0wmzfCCfuPmz8bPzf_s5WA9Iv66w_AbPrGQAQ
CODEN IGRSD2
CitedBy_id crossref_primary_10_1080_10106049_2023_2189315
crossref_primary_10_1109_JSTARS_2024_3468437
crossref_primary_10_1109_JSTARS_2022_3154968
crossref_primary_10_3390_rs11202432
crossref_primary_10_1007_s00376_021_0358_x
crossref_primary_10_1109_TGRS_2020_3005204
crossref_primary_10_3390_rs10020275
crossref_primary_10_1175_2009JAMC2156_1
crossref_primary_10_1109_TGRS_2012_2184123
crossref_primary_10_1109_TGRS_2014_2310702
crossref_primary_10_1109_TGRS_2005_844099
crossref_primary_10_1109_TGRS_2008_916082
crossref_primary_10_1109_TGRS_2018_2889427
crossref_primary_10_3189_172756408784700743
crossref_primary_10_1088_1748_9326_9_4_045009
crossref_primary_10_1109_TGRS_2015_2503884
crossref_primary_10_1007_s10236_010_0356_5
crossref_primary_10_1007_s10872_016_0378_9
crossref_primary_10_1109_TGRS_2013_2261303
crossref_primary_10_1109_TGRS_2015_2503762
crossref_primary_10_1007_s11430_012_4501_5
crossref_primary_10_1109_TGRS_2022_3163522
crossref_primary_10_1016_j_rse_2010_05_027
crossref_primary_10_1175_JTECH_D_13_00232_1
crossref_primary_10_1109_TGRS_2012_2225432
crossref_primary_10_1109_LGRS_2020_2979989
crossref_primary_10_1109_TGRS_2015_2458014
crossref_primary_10_1109_TGRS_2020_3043330
crossref_primary_10_1134_S0001433816090024
crossref_primary_10_1109_TGRS_2015_2465170
crossref_primary_10_1109_36_905237
crossref_primary_10_5194_tc_15_2623_2021
crossref_primary_10_1016_j_rse_2016_10_003
crossref_primary_10_5194_tc_13_49_2019
crossref_primary_10_1109_36_851768
crossref_primary_10_1029_2021GL096690
crossref_primary_10_1109_36_851769
crossref_primary_10_5194_tc_13_1215_2019
crossref_primary_10_1109_ACCESS_2021_3080710
crossref_primary_10_1175_2009JAMC2155_1
crossref_primary_10_3390_rs14205246
crossref_primary_10_1109_TGRS_2018_2882136
crossref_primary_10_3390_rs17081385
crossref_primary_10_1109_TGRS_2015_2501366
crossref_primary_10_1109_JSTARS_2017_2665524
crossref_primary_10_1109_TGRS_2004_838385
crossref_primary_10_1109_TGRS_2006_874138
crossref_primary_10_3390_rs8050397
crossref_primary_10_1109_TGRS_2018_2830100
crossref_primary_10_1080_01431161_2022_2063039
crossref_primary_10_1109_JSTARS_2016_2629418
crossref_primary_10_1109_LGRS_2021_3058404
crossref_primary_10_3390_rs14040932
crossref_primary_10_3390_rs14143502
crossref_primary_10_1109_TGRS_2004_828195
crossref_primary_10_3390_rs14122781
crossref_primary_10_1016_j_rse_2024_114469
crossref_primary_10_1109_TGRS_2018_2866196
crossref_primary_10_1109_TGRS_2015_2411854
crossref_primary_10_1109_TGRS_2015_2505677
crossref_primary_10_1109_TGRS_2023_3332040
crossref_primary_10_1190_geo2012_0264_1
crossref_primary_10_1007_s11430_010_4074_0
crossref_primary_10_1016_j_rse_2014_09_016
crossref_primary_10_1016_j_accre_2022_05_004
crossref_primary_10_1002_2013JD020448
crossref_primary_10_3390_rs12040672
crossref_primary_10_5194_tc_16_103_2022
crossref_primary_10_1016_j_rse_2019_111586
crossref_primary_10_1109_LGRS_2017_2728038
crossref_primary_10_3390_su141811395
crossref_primary_10_1016_j_rse_2012_10_016
crossref_primary_10_1109_JSTARS_2018_2870752
crossref_primary_10_1109_36_823904
crossref_primary_10_3390_rs17061034
crossref_primary_10_1109_LGRS_2008_2006285
crossref_primary_10_1088_1748_9326_adb9ff
crossref_primary_10_1109_TGRS_2022_3151623
crossref_primary_10_1080_01431160903005725
crossref_primary_10_1109_JSTARS_2021_3062116
crossref_primary_10_1109_JSTARS_2023_3260726
crossref_primary_10_1016_S0034_4257_99_00071_1
crossref_primary_10_1109_TGRS_2019_2898872
crossref_primary_10_3390_rs8040294
crossref_primary_10_1109_JSTARS_2016_2626966
crossref_primary_10_1109_TGRS_2022_3182630
crossref_primary_10_1109_TGRS_2012_2197003
crossref_primary_10_1109_JSEN_2020_3002720
crossref_primary_10_1109_36_739119
crossref_primary_10_1109_TGRS_2021_3099835
crossref_primary_10_1109_TGRS_2019_2908560
crossref_primary_10_3390_rs10111793
crossref_primary_10_1109_TGRS_2021_3109376
crossref_primary_10_1109_JSTARS_2014_2301019
crossref_primary_10_1109_TGRS_2017_2743263
crossref_primary_10_1109_JSTARS_2023_3308038
crossref_primary_10_1109_TGRS_2013_2255614
crossref_primary_10_1109_TGRS_2018_2864097
crossref_primary_10_1038_s41558_025_02364_4
crossref_primary_10_1109_TGRS_2002_808243
Cites_doi 10.1109/36.338362
10.1109/36.225536
10.1109/36.134084
10.1109/36.58964
10.1109/78.165672
10.1029/JD095iD10p16673
10.1111/j.1365-246X.1967.tb02159.x
10.56236/RSS-ac
10.1109/TGRS.1986.289705
10.1109/36.58966
10.1111/j.1365-246X.1968.tb00216.x
10.1109/TAP.1978.1141919
10.1109/36.142920
10.1109/36.58971
10.1029/91JD00045
ContentType Journal Article
Copyright 1998 INIST-CNRS
Copyright_xml – notice: 1998 INIST-CNRS
DBID RIA
RIE
AAYXX
CITATION
IQODW
8FD
H8D
L7M
FR3
KR7
DOI 10.1109/36.662726
DatabaseName IEEE All-Society Periodicals Package (ASPP) 1998–Present
IEEE Electronic Library (IEL)
CrossRef
Pascal-Francis
Technology Research Database
Aerospace Database
Advanced Technologies Database with Aerospace
Engineering Research Database
Civil Engineering Abstracts
DatabaseTitle CrossRef
Technology Research Database
Aerospace Database
Advanced Technologies Database with Aerospace
Civil Engineering Abstracts
Engineering Research Database
DatabaseTitleList Technology Research Database
Technology Research Database
Technology Research Database
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
Physics
EndPage 417
ExternalDocumentID 2202729
10_1109_36_662726
662726
GeographicLocations Brazil
Guyana
Amazon River
GroupedDBID -~X
0R~
29I
4.4
5GY
5VS
6IK
97E
AAJGR
AARMG
AASAJ
AAWTH
ABAZT
ABQJQ
ABVLG
ACGFO
ACGFS
ACIWK
ACNCT
AENEX
AETIX
AFRAH
AGQYO
AGSQL
AHBIQ
AI.
AIBXA
AKJIK
AKQYR
ALLEH
ALMA_UNASSIGNED_HOLDINGS
ASUFR
ATWAV
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
CS3
DU5
EBS
EJD
F5P
HZ~
H~9
IBMZZ
ICLAB
IFIPE
IFJZH
IPLJI
JAVBF
LAI
M43
O9-
OCL
P2P
RIA
RIE
RNS
RXW
TAE
TN5
VH1
Y6R
AAYXX
CITATION
IQODW
RIG
8FD
H8D
L7M
FR3
KR7
ID FETCH-LOGICAL-c368t-e128480bb1cbe7a0c53b6546e87f00d7efbf6f8744ad8a4bbd418d41465da45e3
IEDL.DBID RIE
ISICitedReferencesCount 128
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000072566800005&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 0196-2892
IngestDate Sun Sep 28 11:02:47 EDT 2025
Thu Oct 02 11:01:39 EDT 2025
Wed Oct 01 14:59:25 EDT 2025
Mon Jul 21 09:15:54 EDT 2025
Tue Nov 18 21:09:09 EST 2025
Sat Nov 29 06:40:59 EST 2025
Tue Aug 26 21:00:19 EDT 2025
IsDoiOpenAccess false
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 2
Keywords South America
algorithms
Space remote sensing
vegetation
digital simulation
microwave methods
image reconstruction
image analysis
deconvolution
reconstruction
spatial resolution
correlation coefficient
deltas
Language English
License https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html
CC BY 4.0
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c368t-e128480bb1cbe7a0c53b6546e87f00d7efbf6f8744ad8a4bbd418d41465da45e3
Notes ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
PQID 26807416
PQPubID 23500
PageCount 11
ParticipantIDs pascalfrancis_primary_2202729
proquest_miscellaneous_28661127
proquest_miscellaneous_26807416
ieee_primary_662726
proquest_miscellaneous_29052830
crossref_citationtrail_10_1109_36_662726
crossref_primary_10_1109_36_662726
PublicationCentury 1900
PublicationDate 1998-03-01
PublicationDateYYYYMMDD 1998-03-01
PublicationDate_xml – month: 03
  year: 1998
  text: 1998-03-01
  day: 01
PublicationDecade 1990
PublicationPlace New York, NY
PublicationPlace_xml – name: New York, NY
PublicationTitle IEEE transactions on geoscience and remote sensing
PublicationTitleAbbrev TGRS
PublicationYear 1998
Publisher IEEE
Institute of Electrical and Electronics Engineers
Publisher_xml – name: IEEE
– name: Institute of Electrical and Electronics Engineers
References ref13
ref12
ref15
ref14
ulaby (ref20) 1981; 1
ref11
hollinger (ref7) 1987
ref2
ref1
ref17
ref16
thomas (ref19) 1985
wentz (ref21) 1991
ref18
ref4
ref3
jackson (ref9) 1989
ref6
ref5
hollinger (ref8) 1989; 1
jain (ref10) 1989
References_xml – ident: ref17
  doi: 10.1109/36.338362
– start-page: 3
  year: 1989
  ident: ref9
  article-title: algorithm for the passive microwave remote sensing of soil moisture
  publication-title: Microwave Radiometry and Remote Sensing Applications
– ident: ref12
  doi: 10.1109/36.225536
– ident: ref4
  doi: 10.1109/36.134084
– ident: ref6
  doi: 10.1109/36.58964
– ident: ref3
  doi: 10.1109/78.165672
– ident: ref11
  doi: 10.1029/JD095iD10p16673
– year: 1985
  ident: ref19
  publication-title: Satellite remote sensing for ice sheet research
– ident: ref1
  doi: 10.1111/j.1365-246X.1967.tb02159.x
– year: 1991
  ident: ref21
  publication-title: User s manual SSM/I antenna temperature tapes
  doi: 10.56236/RSS-ac
– ident: ref14
  doi: 10.1109/TGRS.1986.289705
– year: 1989
  ident: ref10
  publication-title: Fundamentals of Digital Image Processing
– ident: ref15
  doi: 10.1109/36.58966
– ident: ref2
  doi: 10.1111/j.1365-246X.1968.tb00216.x
– volume: 1
  year: 1981
  ident: ref20
  publication-title: Microwave Remote Sensing---Active and Passive
– ident: ref18
  doi: 10.1109/TAP.1978.1141919
– ident: ref16
  doi: 10.1109/36.142920
– ident: ref13
  doi: 10.1109/36.58971
– ident: ref5
  doi: 10.1029/91JD00045
– volume: 1
  year: 1989
  ident: ref8
  publication-title: DMSP special sensor microwave/imager Calibration/validation
– year: 1987
  ident: ref7
  publication-title: Special sensor microwave/imager user s guide
SSID ssj0014517
Score 1.9281573
Snippet One of the limitations in using Special Sensor Microwave/Imager (SSM/I) data for land and vegetation studies is the relatively low-spatial resolution. To...
SourceID proquest
pascalfrancis
crossref
ieee
SourceType Aggregation Database
Index Database
Enrichment Source
Publisher
StartPage 407
SubjectTerms Antenna measurements
Applied geophysics
Atmospheric measurements
Brightness
Directive antennas
Earth sciences
Earth, ocean, space
Exact sciences and technology
Ice
Image resolution
Internal geophysics
Radar measurements
Radiometers
Spatial resolution
Vegetation
Title Spatial resolution enhancement of SSM/I data
URI https://ieeexplore.ieee.org/document/662726
https://www.proquest.com/docview/26807416
https://www.proquest.com/docview/28661127
https://www.proquest.com/docview/29052830
Volume 36
WOSCitedRecordID wos000072566800005&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: PRVIEE
  databaseName: IEEE Electronic Library (IEL)
  issn: 0196-2892
  databaseCode: RIE
  dateStart: 19800101
  customDbUrl:
  isFulltext: true
  dateEnd: 99991231
  titleUrlDefault: https://ieeexplore.ieee.org/
  omitProxy: false
  ssIdentifier: ssj0014517
  providerName: IEEE
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3dS8MwED9UFPTBj6k4dVrEBx-sS9t89VHEoQ8OYQp7K0l6QUE6cZt_v0naDYci-FAo7bWkd0nvLnf3O4DznDudowiNheYqponksdZlGhumjMnR2QSsDM0mRL8vh8P8scHZDrUwiBiSz_DKn4ZYfjkyU79V1vVg5SlfhmUheF2qNQ8YUJY0ldE8dj5E2oAIJSTvZvyqfnBB9YReKj4TUo0dM2zdxeLHDzlomd7Wv8a3DZuNMRld19LfgSWsWrDxDWKwBWshxdOMd-HSdx92sy1yDnYz3yKsXrzU_WujkY0Gg4fufeSTRvfguXf7dHMXN70SYpNxOYnR6xlJtE6MRqGIYZn2dUoohSWkFGi15dZj3atSKurk4eTiDspZqSjDbB9WqlGFBxBZilILt9KRZ7TMqXJq3TIrEmfpMMNMGy5mbCxMAyTu-1m8FcGhIHmR8aJmRRvO5qTvNXrGb0Qtz8o5wexqZ0E089up365J8zaczkRVuBXhwxyqwtF0XKRcBjvzDwrprBL3OX9Q5MSj3pDDX8d2BOuz0kSSHMPK5GOKHVg1n5PX8cdJmJhfQVfg6A
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3dS8MwED_8RH3wYyrOrxXxwQe7pW2Spo8iiuI2BBV8K0l6QUE6cZt_v0naDYci-FAo7bWkd0nvLnf3O4DTjFudIwkNU8VlSCPBQ6WKONRMap2htQlY4ZtNpP2-eH7O7mucbV8Lg4g--Qzb7tTH8ouBHrutso4DK4_5PCwySmNSFWtNQwaURXVtNA-tFxHXMEIRyToJb1ePzigf303F5ULKoWWHqfpY_Pglez1zvfGvEW7Cem1OBheV_LdgDssGrH0DGWzAsk_y1MNtOHf9h-18C6yLXc-4AMsXJ3f32mBggoeHXuc2cGmjO_B0ffV4eRPW3RJCnXAxCtFpGkGUirTCVBLNEuUqlVCkhpAiRaMMNw7tXhZCUisRKxl7UM4KSRkmu7BQDkrcg8BQFCq1ax15QouMSqvYDTNpZG0dppluwtmEjbmuocRdR4u33LsUJMsTnlesaMLJlPS9ws_4jajhWDklmFw9mhHN9HbsNmzirAmtiahyuyZcoEOWOBgP85gLb2n-QSGsXWI_5w-KjDjcG7L_69hasHLz2Ovm3dv-3QGsTgoVSXQIC6OPMR7Bkv4cvQ4_jv0k_QIXcOQv
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=Spatial+resolution+enhancement+of+SSM%2FI+data&rft.jtitle=IEEE+transactions+on+geoscience+and+remote+sensing&rft.au=Long%2C+David+G&rft.au=Daum%2C+Douglas+L&rft.date=1998-03-01&rft.issn=0196-2892&rft.volume=36&rft.issue=2&rft.spage=407&rft.epage=417&rft_id=info:doi/10.1109%2F36.662726&rft.externalDBID=NO_FULL_TEXT
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0196-2892&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0196-2892&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0196-2892&client=summon