Pansharpening Quality Assessment Using the Modulation Transfer Functions of Instruments

Quality assessment of pansharpening methods is not an easy task. Quality-assessment indexes, like Q4, spectral angle mapper, and relative global synthesis error, require a reference image at the same resolution as the fused image. In the absence of such a reference image, the quality of pansharpenin...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on geoscience and remote sensing 2009-11, Vol.47 (11), p.3880-3891
Hauptverfasser: Khan, M.M., Alparone, L., Chanussot, J.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 3891
container_issue 11
container_start_page 3880
container_title IEEE transactions on geoscience and remote sensing
container_volume 47
creator Khan, M.M.
Alparone, L.
Chanussot, J.
description Quality assessment of pansharpening methods is not an easy task. Quality-assessment indexes, like Q4, spectral angle mapper, and relative global synthesis error, require a reference image at the same resolution as the fused image. In the absence of such a reference image, the quality of pansharpening is assessed at a degraded resolution only. The recently proposed index of Quality Not requiring a Reference (QNR) is one among very few tools available for assessing the quality of pansharpened images at the desired high resolution. However, it would be desirable to cross the outcomes of several independent quality-assessment indexes, in order to better determine the quality of pansharpened images. In this paper, we propose a method to assess fusion quality at the highest resolution, without requiring a high-resolution reference image. The novel method makes use of digital filters matching the modulation transfer functions (MTFs) of the imaging-instrument channels. Spectral quality is evaluated according to Wald's spectral consistency property. Spatial quality measures interscale changes by matching spatial details, extracted from the multispectral bands and from the panchromatic image by means of the high-pass complement of MTF filters. Eventually, we highlight the necessary and sufficient condition criteria for quality-assessment indexes by developing a pansharpening method optimizing the QNR spatial index and assessing the quality of fused images by using the proposed protocol.
doi_str_mv 10.1109/TGRS.2009.2029094
format Article
fullrecord <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_proquest_miscellaneous_1671367690</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5276868</ieee_id><sourcerecordid>2295109511</sourcerecordid><originalsourceid>FETCH-LOGICAL-c389t-77cd7e14e7c5836c20624bcd21e849392607b9ce02653b2651f1bb3fbbf3fe893</originalsourceid><addsrcrecordid>eNpdkU1rFEEQhgcx4BrzA8TLIAh6mNjfH8clmA9YiZoNHpue3mp3wmzPpmtGyL-3h1324KUKqp63qKq3qt5TckkpsV_XN78eLhkhtgRmiRWvqgWV0jRECfG6WhBqVcOMZW-qt4hPhFAhqV5Uv3_4hFuf95C69Kf-Ofm-G1_qJSIg7iCN9SPOjXEL9fdhM_V-7IZUr3ORRcj19ZTCXMF6iPVdwjFPswrfVWfR9wgXx3xePV5_W1_dNqv7m7ur5aoJ3Nix0TpsNFABOkjDVWBEMdGGDaNghOWWKaJbG4AwJXlbAo20bXls28gjGMvPqy-HuVvfu33udj6_uMF37na5cnONECGsEPwvLeznA7vPw_MEOLpdhwH63icYJnRUacqVVpYU9ON_6NMw5VQucUZqIU35XoHoAQp5QMwQTwtQ4mZX3OyKm11xR1eK5tNxsMfg-1j-GDo8CRmjUktuCvfhwHUAcGpLppVRhv8D4RiU4w</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>857458451</pqid></control><display><type>article</type><title>Pansharpening Quality Assessment Using the Modulation Transfer Functions of Instruments</title><source>IEEE Electronic Library (IEL)</source><creator>Khan, M.M. ; Alparone, L. ; Chanussot, J.</creator><creatorcontrib>Khan, M.M. ; Alparone, L. ; Chanussot, J.</creatorcontrib><description>Quality assessment of pansharpening methods is not an easy task. Quality-assessment indexes, like Q4, spectral angle mapper, and relative global synthesis error, require a reference image at the same resolution as the fused image. In the absence of such a reference image, the quality of pansharpening is assessed at a degraded resolution only. The recently proposed index of Quality Not requiring a Reference (QNR) is one among very few tools available for assessing the quality of pansharpened images at the desired high resolution. However, it would be desirable to cross the outcomes of several independent quality-assessment indexes, in order to better determine the quality of pansharpened images. In this paper, we propose a method to assess fusion quality at the highest resolution, without requiring a high-resolution reference image. The novel method makes use of digital filters matching the modulation transfer functions (MTFs) of the imaging-instrument channels. Spectral quality is evaluated according to Wald's spectral consistency property. Spatial quality measures interscale changes by matching spatial details, extracted from the multispectral bands and from the panchromatic image by means of the high-pass complement of MTF filters. Eventually, we highlight the necessary and sufficient condition criteria for quality-assessment indexes by developing a pansharpening method optimizing the QNR spatial index and assessing the quality of fused images by using the proposed protocol.</description><identifier>ISSN: 0196-2892</identifier><identifier>EISSN: 1558-0644</identifier><identifier>DOI: 10.1109/TGRS.2009.2029094</identifier><identifier>CODEN: IGRSD2</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Applied geophysics ; Channels ; Complement ; Computer Science ; Degradation ; Digital filters ; Digital modulation ; Earth sciences ; Earth, ocean, space ; Exact sciences and technology ; Fusion ; Image Processing ; image quality ; Image resolution ; Instruments ; Internal geophysics ; Matched filters ; Matching ; Modulation transfer function ; modulation transfer function (MTF) ; pansharpening ; Quality assessment ; spatial distortion ; Spatial resolution ; Spectra ; spectral distortion ; Sufficient conditions ; Transfer functions</subject><ispartof>IEEE transactions on geoscience and remote sensing, 2009-11, Vol.47 (11), p.3880-3891</ispartof><rights>2015 INIST-CNRS</rights><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2009</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c389t-77cd7e14e7c5836c20624bcd21e849392607b9ce02653b2651f1bb3fbbf3fe893</citedby><cites>FETCH-LOGICAL-c389t-77cd7e14e7c5836c20624bcd21e849392607b9ce02653b2651f1bb3fbbf3fe893</cites><orcidid>0000-0003-4817-2875</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5276868$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>230,309,310,314,776,780,785,786,792,881,23909,23910,25118,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5276868$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=22157538$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-00449443$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Khan, M.M.</creatorcontrib><creatorcontrib>Alparone, L.</creatorcontrib><creatorcontrib>Chanussot, J.</creatorcontrib><title>Pansharpening Quality Assessment Using the Modulation Transfer Functions of Instruments</title><title>IEEE transactions on geoscience and remote sensing</title><addtitle>TGRS</addtitle><description>Quality assessment of pansharpening methods is not an easy task. Quality-assessment indexes, like Q4, spectral angle mapper, and relative global synthesis error, require a reference image at the same resolution as the fused image. In the absence of such a reference image, the quality of pansharpening is assessed at a degraded resolution only. The recently proposed index of Quality Not requiring a Reference (QNR) is one among very few tools available for assessing the quality of pansharpened images at the desired high resolution. However, it would be desirable to cross the outcomes of several independent quality-assessment indexes, in order to better determine the quality of pansharpened images. In this paper, we propose a method to assess fusion quality at the highest resolution, without requiring a high-resolution reference image. The novel method makes use of digital filters matching the modulation transfer functions (MTFs) of the imaging-instrument channels. Spectral quality is evaluated according to Wald's spectral consistency property. Spatial quality measures interscale changes by matching spatial details, extracted from the multispectral bands and from the panchromatic image by means of the high-pass complement of MTF filters. Eventually, we highlight the necessary and sufficient condition criteria for quality-assessment indexes by developing a pansharpening method optimizing the QNR spatial index and assessing the quality of fused images by using the proposed protocol.</description><subject>Applied geophysics</subject><subject>Channels</subject><subject>Complement</subject><subject>Computer Science</subject><subject>Degradation</subject><subject>Digital filters</subject><subject>Digital modulation</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Exact sciences and technology</subject><subject>Fusion</subject><subject>Image Processing</subject><subject>image quality</subject><subject>Image resolution</subject><subject>Instruments</subject><subject>Internal geophysics</subject><subject>Matched filters</subject><subject>Matching</subject><subject>Modulation transfer function</subject><subject>modulation transfer function (MTF)</subject><subject>pansharpening</subject><subject>Quality assessment</subject><subject>spatial distortion</subject><subject>Spatial resolution</subject><subject>Spectra</subject><subject>spectral distortion</subject><subject>Sufficient conditions</subject><subject>Transfer functions</subject><issn>0196-2892</issn><issn>1558-0644</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkU1rFEEQhgcx4BrzA8TLIAh6mNjfH8clmA9YiZoNHpue3mp3wmzPpmtGyL-3h1324KUKqp63qKq3qt5TckkpsV_XN78eLhkhtgRmiRWvqgWV0jRECfG6WhBqVcOMZW-qt4hPhFAhqV5Uv3_4hFuf95C69Kf-Ofm-G1_qJSIg7iCN9SPOjXEL9fdhM_V-7IZUr3ORRcj19ZTCXMF6iPVdwjFPswrfVWfR9wgXx3xePV5_W1_dNqv7m7ur5aoJ3Nix0TpsNFABOkjDVWBEMdGGDaNghOWWKaJbG4AwJXlbAo20bXls28gjGMvPqy-HuVvfu33udj6_uMF37na5cnONECGsEPwvLeznA7vPw_MEOLpdhwH63icYJnRUacqVVpYU9ON_6NMw5VQucUZqIU35XoHoAQp5QMwQTwtQ4mZX3OyKm11xR1eK5tNxsMfg-1j-GDo8CRmjUktuCvfhwHUAcGpLppVRhv8D4RiU4w</recordid><startdate>20091101</startdate><enddate>20091101</enddate><creator>Khan, M.M.</creator><creator>Alparone, L.</creator><creator>Chanussot, J.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H8D</scope><scope>H96</scope><scope>KR7</scope><scope>L.G</scope><scope>L7M</scope><scope>7SP</scope><scope>F28</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0003-4817-2875</orcidid></search><sort><creationdate>20091101</creationdate><title>Pansharpening Quality Assessment Using the Modulation Transfer Functions of Instruments</title><author>Khan, M.M. ; Alparone, L. ; Chanussot, J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c389t-77cd7e14e7c5836c20624bcd21e849392607b9ce02653b2651f1bb3fbbf3fe893</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Applied geophysics</topic><topic>Channels</topic><topic>Complement</topic><topic>Computer Science</topic><topic>Degradation</topic><topic>Digital filters</topic><topic>Digital modulation</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Exact sciences and technology</topic><topic>Fusion</topic><topic>Image Processing</topic><topic>image quality</topic><topic>Image resolution</topic><topic>Instruments</topic><topic>Internal geophysics</topic><topic>Matched filters</topic><topic>Matching</topic><topic>Modulation transfer function</topic><topic>modulation transfer function (MTF)</topic><topic>pansharpening</topic><topic>Quality assessment</topic><topic>spatial distortion</topic><topic>Spatial resolution</topic><topic>Spectra</topic><topic>spectral distortion</topic><topic>Sufficient conditions</topic><topic>Transfer functions</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Khan, M.M.</creatorcontrib><creatorcontrib>Alparone, L.</creatorcontrib><creatorcontrib>Chanussot, J.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy &amp; Non-Living Resources</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>ANTE: Abstracts in New Technology &amp; Engineering</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>IEEE transactions on geoscience and remote sensing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Khan, M.M.</au><au>Alparone, L.</au><au>Chanussot, J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Pansharpening Quality Assessment Using the Modulation Transfer Functions of Instruments</atitle><jtitle>IEEE transactions on geoscience and remote sensing</jtitle><stitle>TGRS</stitle><date>2009-11-01</date><risdate>2009</risdate><volume>47</volume><issue>11</issue><spage>3880</spage><epage>3891</epage><pages>3880-3891</pages><issn>0196-2892</issn><eissn>1558-0644</eissn><coden>IGRSD2</coden><abstract>Quality assessment of pansharpening methods is not an easy task. Quality-assessment indexes, like Q4, spectral angle mapper, and relative global synthesis error, require a reference image at the same resolution as the fused image. In the absence of such a reference image, the quality of pansharpening is assessed at a degraded resolution only. The recently proposed index of Quality Not requiring a Reference (QNR) is one among very few tools available for assessing the quality of pansharpened images at the desired high resolution. However, it would be desirable to cross the outcomes of several independent quality-assessment indexes, in order to better determine the quality of pansharpened images. In this paper, we propose a method to assess fusion quality at the highest resolution, without requiring a high-resolution reference image. The novel method makes use of digital filters matching the modulation transfer functions (MTFs) of the imaging-instrument channels. Spectral quality is evaluated according to Wald's spectral consistency property. Spatial quality measures interscale changes by matching spatial details, extracted from the multispectral bands and from the panchromatic image by means of the high-pass complement of MTF filters. Eventually, we highlight the necessary and sufficient condition criteria for quality-assessment indexes by developing a pansharpening method optimizing the QNR spatial index and assessing the quality of fused images by using the proposed protocol.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/TGRS.2009.2029094</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0003-4817-2875</orcidid></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 0196-2892
ispartof IEEE transactions on geoscience and remote sensing, 2009-11, Vol.47 (11), p.3880-3891
issn 0196-2892
1558-0644
language eng
recordid cdi_proquest_miscellaneous_1671367690
source IEEE Electronic Library (IEL)
subjects Applied geophysics
Channels
Complement
Computer Science
Degradation
Digital filters
Digital modulation
Earth sciences
Earth, ocean, space
Exact sciences and technology
Fusion
Image Processing
image quality
Image resolution
Instruments
Internal geophysics
Matched filters
Matching
Modulation transfer function
modulation transfer function (MTF)
pansharpening
Quality assessment
spatial distortion
Spatial resolution
Spectra
spectral distortion
Sufficient conditions
Transfer functions
title Pansharpening Quality Assessment Using the Modulation Transfer Functions of Instruments
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-08T15%3A49%3A13IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Pansharpening%20Quality%20Assessment%20Using%20the%20Modulation%20Transfer%20Functions%20of%20Instruments&rft.jtitle=IEEE%20transactions%20on%20geoscience%20and%20remote%20sensing&rft.au=Khan,%20M.M.&rft.date=2009-11-01&rft.volume=47&rft.issue=11&rft.spage=3880&rft.epage=3891&rft.pages=3880-3891&rft.issn=0196-2892&rft.eissn=1558-0644&rft.coden=IGRSD2&rft_id=info:doi/10.1109/TGRS.2009.2029094&rft_dat=%3Cproquest_RIE%3E2295109511%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=857458451&rft_id=info:pmid/&rft_ieee_id=5276868&rfr_iscdi=true