Large-Scale Combined Adjustment of Optical Satellite Imagery and ICESat-2 Data Through Terrain Profile Elevation Sequence Similarity Matching

Earth observation utilizes multisource satellite data to enhance photogrammetry mapping. This study introduces a novel method to improve the geometric positioning accuracy of large-scale optical satellite imagery by combined adjustment with NASA's Ice, Cloud, and Land Elevation Satellite-2 (ICE...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE journal of selected topics in applied earth observations and remote sensing 2024, Vol.17, p.19771-19785
Hauptverfasser: Wei, Shaodong, Jiang, Yonghua, Du, Bin, Tan, MeiLin, Xu, Miaozhong, Lian, Weiqi, Zhang, Guo
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 19785
container_issue
container_start_page 19771
container_title IEEE journal of selected topics in applied earth observations and remote sensing
container_volume 17
creator Wei, Shaodong
Jiang, Yonghua
Du, Bin
Tan, MeiLin
Xu, Miaozhong
Lian, Weiqi
Zhang, Guo
description Earth observation utilizes multisource satellite data to enhance photogrammetry mapping. This study introduces a novel method to improve the geometric positioning accuracy of large-scale optical satellite imagery by combined adjustment with NASA's Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) laser altimetry data. Although ICESat-2 is known for its high vertical accuracy, its potential to improve horizontal accuracy has been limited due to the difficulty in matching caused by temporal inconsistencies across large survey areas. To address this, our method employs a robust terrain profile elevation sequence similarity matching technique, refined with two-dimensional Gaussian fitting to achieve enhanced position extraction. We also propose a weighted adjustment strategy that uses matching confidence to enhance the precision of the combined adjustments. Large-scale tests across various terrains showed that our approach has significantly reduced horizontal and vertical positioning errors to 4.3 and 1.7 m, respectively, outperforming existing methods.
doi_str_mv 10.1109/JSTARS.2024.3481449
format Article
fullrecord <record><control><sourceid>proquest_ieee_</sourceid><recordid>TN_cdi_ieee_primary_10720096</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>10720096</ieee_id><doaj_id>oai_doaj_org_article_de8bfed5b01d4c45862c12a3accf7663</doaj_id><sourcerecordid>3126086798</sourcerecordid><originalsourceid>FETCH-LOGICAL-c289t-82d6848c5c50d38bcbde6bdc31a25f11483a0cd9de9936311d6ba6a00ecb1ca63</originalsourceid><addsrcrecordid>eNpNUcuu0zAQjRBIlAtfAAtLrFP8imsvq9ILRUUXkbK2JvakdZXExXGR-hH8M7nkCrEaac5j5ugUxVtGl4xR8-FLfVh_r5eccrkUUjMpzbNiwVnFSlaJ6nmxYEaYkkkqXxavxvFMqeIrIxbF7z2kI5a1gw7JJvZNGNCTtT9fx9zjkElsycMlhwknNWTsupCR7Ho4YroRGDzZbbYTUHLyETKQwynF6_FEDpgShIF8S7ENk_W2w1-QQxxIjT-vODgkdehDBynkG_kK2Z3CcHxdvGihG_HN07wrftxvD5vP5f7h026z3peOa5NLzb3SUrvKVdQL3bjGo2q8Ewx41TImtQDqvPFojFCCMa8aUEApuoY5UOKu2M2-PsLZXlLoId1shGD_LmI6WkhT6A6tR9206KuGMi-drLTijnEQ4Fy7UkpMXu9nr0uKU7Ix23O8pmF63wrGFdVqZfTEEjPLpTiOCdt_Vxm1jx3auUP72KF96nBSvZtVARH_U6w4pUaJP9fYmlw</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3126086798</pqid></control><display><type>article</type><title>Large-Scale Combined Adjustment of Optical Satellite Imagery and ICESat-2 Data Through Terrain Profile Elevation Sequence Similarity Matching</title><source>DOAJ Directory of Open Access Journals</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Wei, Shaodong ; Jiang, Yonghua ; Du, Bin ; Tan, MeiLin ; Xu, Miaozhong ; Lian, Weiqi ; Zhang, Guo</creator><creatorcontrib>Wei, Shaodong ; Jiang, Yonghua ; Du, Bin ; Tan, MeiLin ; Xu, Miaozhong ; Lian, Weiqi ; Zhang, Guo</creatorcontrib><description>Earth observation utilizes multisource satellite data to enhance photogrammetry mapping. This study introduces a novel method to improve the geometric positioning accuracy of large-scale optical satellite imagery by combined adjustment with NASA's Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) laser altimetry data. Although ICESat-2 is known for its high vertical accuracy, its potential to improve horizontal accuracy has been limited due to the difficulty in matching caused by temporal inconsistencies across large survey areas. To address this, our method employs a robust terrain profile elevation sequence similarity matching technique, refined with two-dimensional Gaussian fitting to achieve enhanced position extraction. We also propose a weighted adjustment strategy that uses matching confidence to enhance the precision of the combined adjustments. Large-scale tests across various terrains showed that our approach has significantly reduced horizontal and vertical positioning errors to 4.3 and 1.7 m, respectively, outperforming existing methods.</description><identifier>ISSN: 1939-1404</identifier><identifier>EISSN: 2151-1535</identifier><identifier>DOI: 10.1109/JSTARS.2024.3481449</identifier><identifier>CODEN: IJSTHZ</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Accuracy ; Adaptive optics ; Altimetry ; and Land Elevation Satellite-2 (ICEsat-2) ; Cloud ; Combined adjustment ; Earth observations (from space) ; Elevation ; Geometrical optics ; Image enhancement ; Integrated optics ; Matching ; NASA's Ice ; Optical filters ; Optical imaging ; Optical sensors ; Photogrammetry ; Point cloud compression ; rational polynomial coefficients ; satellite geometric positioning ; Satellite imagery ; Satellite images ; Satellite observation ; Satellites ; Similarity ; Terrain ; Vertical orientation</subject><ispartof>IEEE journal of selected topics in applied earth observations and remote sensing, 2024, Vol.17, p.19771-19785</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c289t-82d6848c5c50d38bcbde6bdc31a25f11483a0cd9de9936311d6ba6a00ecb1ca63</cites><orcidid>0000-0001-5777-4144 ; 0000-0002-7663-2528 ; 0000-0002-3987-5336</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,860,2096,4010,27900,27901,27902</link.rule.ids></links><search><creatorcontrib>Wei, Shaodong</creatorcontrib><creatorcontrib>Jiang, Yonghua</creatorcontrib><creatorcontrib>Du, Bin</creatorcontrib><creatorcontrib>Tan, MeiLin</creatorcontrib><creatorcontrib>Xu, Miaozhong</creatorcontrib><creatorcontrib>Lian, Weiqi</creatorcontrib><creatorcontrib>Zhang, Guo</creatorcontrib><title>Large-Scale Combined Adjustment of Optical Satellite Imagery and ICESat-2 Data Through Terrain Profile Elevation Sequence Similarity Matching</title><title>IEEE journal of selected topics in applied earth observations and remote sensing</title><addtitle>JSTARS</addtitle><description>Earth observation utilizes multisource satellite data to enhance photogrammetry mapping. This study introduces a novel method to improve the geometric positioning accuracy of large-scale optical satellite imagery by combined adjustment with NASA's Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) laser altimetry data. Although ICESat-2 is known for its high vertical accuracy, its potential to improve horizontal accuracy has been limited due to the difficulty in matching caused by temporal inconsistencies across large survey areas. To address this, our method employs a robust terrain profile elevation sequence similarity matching technique, refined with two-dimensional Gaussian fitting to achieve enhanced position extraction. We also propose a weighted adjustment strategy that uses matching confidence to enhance the precision of the combined adjustments. Large-scale tests across various terrains showed that our approach has significantly reduced horizontal and vertical positioning errors to 4.3 and 1.7 m, respectively, outperforming existing methods.</description><subject>Accuracy</subject><subject>Adaptive optics</subject><subject>Altimetry</subject><subject>and Land Elevation Satellite-2 (ICEsat-2)</subject><subject>Cloud</subject><subject>Combined adjustment</subject><subject>Earth observations (from space)</subject><subject>Elevation</subject><subject>Geometrical optics</subject><subject>Image enhancement</subject><subject>Integrated optics</subject><subject>Matching</subject><subject>NASA's Ice</subject><subject>Optical filters</subject><subject>Optical imaging</subject><subject>Optical sensors</subject><subject>Photogrammetry</subject><subject>Point cloud compression</subject><subject>rational polynomial coefficients</subject><subject>satellite geometric positioning</subject><subject>Satellite imagery</subject><subject>Satellite images</subject><subject>Satellite observation</subject><subject>Satellites</subject><subject>Similarity</subject><subject>Terrain</subject><subject>Vertical orientation</subject><issn>1939-1404</issn><issn>2151-1535</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><sourceid>DOA</sourceid><recordid>eNpNUcuu0zAQjRBIlAtfAAtLrFP8imsvq9ILRUUXkbK2JvakdZXExXGR-hH8M7nkCrEaac5j5ugUxVtGl4xR8-FLfVh_r5eccrkUUjMpzbNiwVnFSlaJ6nmxYEaYkkkqXxavxvFMqeIrIxbF7z2kI5a1gw7JJvZNGNCTtT9fx9zjkElsycMlhwknNWTsupCR7Ho4YroRGDzZbbYTUHLyETKQwynF6_FEDpgShIF8S7ENk_W2w1-QQxxIjT-vODgkdehDBynkG_kK2Z3CcHxdvGihG_HN07wrftxvD5vP5f7h026z3peOa5NLzb3SUrvKVdQL3bjGo2q8Ewx41TImtQDqvPFojFCCMa8aUEApuoY5UOKu2M2-PsLZXlLoId1shGD_LmI6WkhT6A6tR9206KuGMi-drLTijnEQ4Fy7UkpMXu9nr0uKU7Ix23O8pmF63wrGFdVqZfTEEjPLpTiOCdt_Vxm1jx3auUP72KF96nBSvZtVARH_U6w4pUaJP9fYmlw</recordid><startdate>2024</startdate><enddate>2024</enddate><creator>Wei, Shaodong</creator><creator>Jiang, Yonghua</creator><creator>Du, Bin</creator><creator>Tan, MeiLin</creator><creator>Xu, Miaozhong</creator><creator>Lian, Weiqi</creator><creator>Zhang, Guo</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>ESBDL</scope><scope>RIA</scope><scope>RIE</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>DOA</scope><orcidid>https://orcid.org/0000-0001-5777-4144</orcidid><orcidid>https://orcid.org/0000-0002-7663-2528</orcidid><orcidid>https://orcid.org/0000-0002-3987-5336</orcidid></search><sort><creationdate>2024</creationdate><title>Large-Scale Combined Adjustment of Optical Satellite Imagery and ICESat-2 Data Through Terrain Profile Elevation Sequence Similarity Matching</title><author>Wei, Shaodong ; Jiang, Yonghua ; Du, Bin ; Tan, MeiLin ; Xu, Miaozhong ; Lian, Weiqi ; Zhang, Guo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c289t-82d6848c5c50d38bcbde6bdc31a25f11483a0cd9de9936311d6ba6a00ecb1ca63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Accuracy</topic><topic>Adaptive optics</topic><topic>Altimetry</topic><topic>and Land Elevation Satellite-2 (ICEsat-2)</topic><topic>Cloud</topic><topic>Combined adjustment</topic><topic>Earth observations (from space)</topic><topic>Elevation</topic><topic>Geometrical optics</topic><topic>Image enhancement</topic><topic>Integrated optics</topic><topic>Matching</topic><topic>NASA's Ice</topic><topic>Optical filters</topic><topic>Optical imaging</topic><topic>Optical sensors</topic><topic>Photogrammetry</topic><topic>Point cloud compression</topic><topic>rational polynomial coefficients</topic><topic>satellite geometric positioning</topic><topic>Satellite imagery</topic><topic>Satellite images</topic><topic>Satellite observation</topic><topic>Satellites</topic><topic>Similarity</topic><topic>Terrain</topic><topic>Vertical orientation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wei, Shaodong</creatorcontrib><creatorcontrib>Jiang, Yonghua</creatorcontrib><creatorcontrib>Du, Bin</creatorcontrib><creatorcontrib>Tan, MeiLin</creatorcontrib><creatorcontrib>Xu, Miaozhong</creatorcontrib><creatorcontrib>Lian, Weiqi</creatorcontrib><creatorcontrib>Zhang, Guo</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE Open Access Journals</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</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>DOAJ Directory of Open Access Journals</collection><jtitle>IEEE journal of selected topics in applied earth observations and remote sensing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wei, Shaodong</au><au>Jiang, Yonghua</au><au>Du, Bin</au><au>Tan, MeiLin</au><au>Xu, Miaozhong</au><au>Lian, Weiqi</au><au>Zhang, Guo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Large-Scale Combined Adjustment of Optical Satellite Imagery and ICESat-2 Data Through Terrain Profile Elevation Sequence Similarity Matching</atitle><jtitle>IEEE journal of selected topics in applied earth observations and remote sensing</jtitle><stitle>JSTARS</stitle><date>2024</date><risdate>2024</risdate><volume>17</volume><spage>19771</spage><epage>19785</epage><pages>19771-19785</pages><issn>1939-1404</issn><eissn>2151-1535</eissn><coden>IJSTHZ</coden><abstract>Earth observation utilizes multisource satellite data to enhance photogrammetry mapping. This study introduces a novel method to improve the geometric positioning accuracy of large-scale optical satellite imagery by combined adjustment with NASA's Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) laser altimetry data. Although ICESat-2 is known for its high vertical accuracy, its potential to improve horizontal accuracy has been limited due to the difficulty in matching caused by temporal inconsistencies across large survey areas. To address this, our method employs a robust terrain profile elevation sequence similarity matching technique, refined with two-dimensional Gaussian fitting to achieve enhanced position extraction. We also propose a weighted adjustment strategy that uses matching confidence to enhance the precision of the combined adjustments. Large-scale tests across various terrains showed that our approach has significantly reduced horizontal and vertical positioning errors to 4.3 and 1.7 m, respectively, outperforming existing methods.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/JSTARS.2024.3481449</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0001-5777-4144</orcidid><orcidid>https://orcid.org/0000-0002-7663-2528</orcidid><orcidid>https://orcid.org/0000-0002-3987-5336</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1939-1404
ispartof IEEE journal of selected topics in applied earth observations and remote sensing, 2024, Vol.17, p.19771-19785
issn 1939-1404
2151-1535
language eng
recordid cdi_ieee_primary_10720096
source DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals
subjects Accuracy
Adaptive optics
Altimetry
and Land Elevation Satellite-2 (ICEsat-2)
Cloud
Combined adjustment
Earth observations (from space)
Elevation
Geometrical optics
Image enhancement
Integrated optics
Matching
NASA's Ice
Optical filters
Optical imaging
Optical sensors
Photogrammetry
Point cloud compression
rational polynomial coefficients
satellite geometric positioning
Satellite imagery
Satellite images
Satellite observation
Satellites
Similarity
Terrain
Vertical orientation
title Large-Scale Combined Adjustment of Optical Satellite Imagery and ICESat-2 Data Through Terrain Profile Elevation Sequence Similarity Matching
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-31T18%3A32%3A11IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_ieee_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Large-Scale%20Combined%20Adjustment%20of%20Optical%20Satellite%20Imagery%20and%20ICESat-2%20Data%20Through%20Terrain%20Profile%20Elevation%20Sequence%20Similarity%20Matching&rft.jtitle=IEEE%20journal%20of%20selected%20topics%20in%20applied%20earth%20observations%20and%20remote%20sensing&rft.au=Wei,%20Shaodong&rft.date=2024&rft.volume=17&rft.spage=19771&rft.epage=19785&rft.pages=19771-19785&rft.issn=1939-1404&rft.eissn=2151-1535&rft.coden=IJSTHZ&rft_id=info:doi/10.1109/JSTARS.2024.3481449&rft_dat=%3Cproquest_ieee_%3E3126086798%3C/proquest_ieee_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3126086798&rft_id=info:pmid/&rft_ieee_id=10720096&rft_doaj_id=oai_doaj_org_article_de8bfed5b01d4c45862c12a3accf7663&rfr_iscdi=true