Full-automatic high-precision scene 3D reconstruction method with water-area intelligent complementation and mesh optimization for UAV images

Fast and high-precision urban scene 3D modeling is the foundational data infrastructure for the digital earth and smart cities. However, due to challenges such as water-area matching difficulties and issues like data redundancy and insufficient observations, existing full-automatic 3D modeling metho...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	International journal of digital earth Ročník 17; číslo 1
Hlavní autori:	Guo, Bingxuan, Ge, Yingwei, Xiao, Xiongwu, Wang, Chao, Gong, Jianya, Li, Deren
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Abingdon Taylor & Francis 31.12.2024 Taylor & Francis Ltd Taylor & Francis Group
Predmet:	Accuracy base maps cities Clustering Complementation Culling data collection Depth depth map optimization digital database Digital imaging extracts High-completeness scene 3D modeling image analysis Image processing Image reconstruction least squares mesh refinement Modelling Optimization porous media Ray tracing Redundancy Three dimensional models UAV images Water Water depth water-area intelligent complementation
ISSN:	1753-8947, 1753-8955, 1753-8955
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Abstract	Fast and high-precision urban scene 3D modeling is the foundational data infrastructure for the digital earth and smart cities. However, due to challenges such as water-area matching difficulties and issues like data redundancy and insufficient observations, existing full-automatic 3D modeling methods often result in water-area missing and many small holes in the models and insufficient local-model accuracy. To overcome these challenges, full-automatic high-precision scene 3D reconstruction method with water-area intelligent complementation on depth maps and mesh optimization is proposed. Firstly, SfM was used to calculated image poses and PatchMatch was used to generated initial depth maps. Secondly, a simplified GAN extracted water-area masks and ray tracing was used achieve high-precision auto-completed water-area depth values. Thirdly, fully connected CRF optimized water-areas and arounds in depth maps. Fourthly, high-precision 3D point clouds were obtained using depth map fusion based on clustering culling and depth least squares. Then, mesh was generated and optimized using similarity measurement and vertex gradients to obtain refined mesh. Finally, high-precision scene 3D models without water-area missing or holes were generated. The results showed that: to compare with the-state-of-art ContextCapture, the proposed method enhances model completeness by 14.3%, raises average accuracy by 14.5% and improves processing efficiency by 63.6%.
AbstractList	Fast and high-precision urban scene 3D modeling is the foundational data infrastructure for the digital earth and smart cities. However, due to challenges such as water-area matching difficulties and issues like data redundancy and insufficient observations, existing full-automatic 3D modeling methods often result in water-area missing and many small holes in the models and insufficient local-model accuracy. To overcome these challenges, full-automatic high-precision scene 3D reconstruction method with water-area intelligent complementation on depth maps and mesh optimization is proposed. Firstly, SfM was used to calculated image poses and PatchMatch was used to generated initial depth maps. Secondly, a simplified GAN extracted water-area masks and ray tracing was used achieve high-precision auto-completed water-area depth values. Thirdly, fully connected CRF optimized water-areas and arounds in depth maps. Fourthly, high-precision 3D point clouds were obtained using depth map fusion based on clustering culling and depth least squares. Then, mesh was generated and optimized using similarity measurement and vertex gradients to obtain refined mesh. Finally, high-precision scene 3D models without water-area missing or holes were generated. The results showed that: to compare with the-state-of-art ContextCapture, the proposed method enhances model completeness by 14.3%, raises average accuracy by 14.5% and improves processing efficiency by 63.6%. ABSTRACTFast and high-precision urban scene 3D modeling is the foundational data infrastructure for the digital earth and smart cities. However, due to challenges such as water-area matching difficulties and issues like data redundancy and insufficient observations, existing full-automatic 3D modeling methods often result in water-area missing and many small holes in the models and insufficient local-model accuracy. To overcome these challenges, full-automatic high-precision scene 3D reconstruction method with water-area intelligent complementation on depth maps and mesh optimization is proposed. Firstly, SfM was used to calculated image poses and PatchMatch was used to generated initial depth maps. Secondly, a simplified GAN extracted water-area masks and ray tracing was used achieve high-precision auto-completed water-area depth values. Thirdly, fully connected CRF optimized water-areas and arounds in depth maps. Fourthly, high-precision 3D point clouds were obtained using depth map fusion based on clustering culling and depth least squares. Then, mesh was generated and optimized using similarity measurement and vertex gradients to obtain refined mesh. Finally, high-precision scene 3D models without water-area missing or holes were generated. The results showed that: to compare with the-state-of-art ContextCapture, the proposed method enhances model completeness by 14.3%, raises average accuracy by 14.5% and improves processing efficiency by 63.6%.
Author	Xiao, Xiongwu Wang, Chao Gong, Jianya Guo, Bingxuan Ge, Yingwei Li, Deren
Author_xml	– sequence: 1 givenname: Bingxuan orcidid: 0000-0003-0061-0602 surname: Guo fullname: Guo, Bingxuan organization: Wuhan University – sequence: 2 givenname: Yingwei orcidid: 0000-0002-2618-8596 surname: Ge fullname: Ge, Yingwei organization: Wuhan University – sequence: 3 givenname: Xiongwu orcidid: 0000-0002-3035-7727 surname: Xiao fullname: Xiao, Xiongwu email: xwxiao@whu.edu.cn organization: Wuhan University – sequence: 4 givenname: Chao surname: Wang fullname: Wang, Chao organization: Wuhan University – sequence: 5 givenname: Jianya surname: Gong fullname: Gong, Jianya organization: Wuhan University – sequence: 6 givenname: Deren orcidid: 0000-0001-5977-3081 surname: Li fullname: Li, Deren organization: Wuhan University
BookMark	eNqFUkFvFCEYnZia2FZ_ggmJFy-zMgMsM_Fi01pt0sSL9Uq-YT522TCwApNN_Q_-Z9lO66EHPRDg8d6D73ucVSc-eKyqtw1dNbSjHxopWNdzuWppy1ctayTnzYvq9IjXXS_Eyd81l6-qs5R2lK4p5-y0-n09O1fDnMME2WqytZttvY-obbLBk6TRI2FXpCDBpxxnnY_4hHkbRnKweUsOkDHWEBGI9Rmdsxv0megw7R1OZQkPEvBjkaUtCftsJ_trQU2I5O7iB7ETbDC9rl4acAnfPM7n1d315--XX-vbb19uLi9ua807nmsce6MNRcaF4BzZCE3ZrIUcBkCqy6EeWy77TpoWzXrAYWyHlpkWej4gp-y8ull8xwA7tY_l9nivAlj1AIS4URBLOxwqKgfZc6OHbgAuGgbtKKnp12WIgY1YvN4vXvsYfs6YsppsaZtz4DHMSbFmLTrZ8VYW6rtn1F2Yoy-VFpboGikZ7Qvr48LSMaQU0Shtlx7mCNaphqpj7OopdnWMXT3GXtTimfqpvP_pPi0660smExxCdKPKcO9CNBF8-RDlkf-0-AOg-slr
CitedBy_id	crossref_primary_10_1109_TGRS_2025_3590623 crossref_primary_10_1080_17538947_2025_2484668 crossref_primary_10_1080_17538947_2024_2375112 crossref_primary_10_1016_j_compbiomed_2025_110328 crossref_primary_10_1016_j_inffus_2025_103209 crossref_primary_10_1016_j_jenvman_2024_122464 crossref_primary_10_1109_JSTARS_2025_3570614 crossref_primary_10_1080_17538947_2025_2557516
Cites_doi	10.1155/2023/3544724 10.1016/j.isprsjprs.2019.06.015 10.1080/10095020.2023.2169199 10.1007/978-3-319-24574-4_28 10.1016/j.measurement.2019.02.023 10.1109/MSP.2017.2765202 10.1007/s11042-018-6678-x 10.1080/17538947.2014.914252 10.1016/j.algal.2020.101932 10.48550/arXiv.1611.06612 10.1109/CVPR42600.2020.00565 10.1093/iob/obad024 10.1145/3422622 10.2478/cait-2013-0009 10.1109/MGRS.2021.3122248 10.5194/isprs-archives-XLII-2-W13-419-2019 10.1109/CVPR.2011.5995693 10.1145/1531326.1531330 10.1080/17538947.2011.638500 10.1016/j.isprsjprs.2022.03.006 10.1145/2070781.2024182 10.3390/rs12233908 10.1016/j.patcog.2015.04.019 10.1109/ACCESS.2019.2949635 10.13203/j.whugis20160099 10.1109/JSTARS.2017.2787116 10.1109/TCSVT.2017.2720175 10.1007/978-3-319-46448-0_5 10.5194/isprs-archives-XLII-1-W1-519-2017 10.1134/S0097807821050109 10.5194/isprs-archives-XLII-3-W10-547-2020 10.1109/TCSVT.2016.2628782 10.3390/jmse8030188 10.5194/isprsarchives-XXXVIII-1-C22-25-2011 10.13474/j.cnki.11-2246.2021.0152 10.1080/17538947.2016.1264490 10.1080/17538947.2013.866173 10.1109/CVPR.2016.445 10.1109/CVPR.2010.5539804 10.3390/rs14112616 10.1109/TGRS.2022.3222776 10.5244/C.25.14
ContentType	Journal Article
Copyright	2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group 2024 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Copyright_xml	– notice: 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group 2024 – notice: 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
DBID	0YH AAYXX CITATION 7ST 7UA 8FD C1K F1W FR3 H8D H96 KR7 L.G L7M SOI 7S9 L.6 DOA
DOI	10.1080/17538947.2024.2317441
DatabaseName	Taylor & Francis Open Access CrossRef Environment Abstracts Water Resources Abstracts Technology Research Database Environmental Sciences and Pollution Management ASFA: Aquatic Sciences and Fisheries Abstracts Engineering Research Database Aerospace Database Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources Civil Engineering Abstracts Aquatic Science & Fisheries Abstracts (ASFA) Professional Advanced Technologies Database with Aerospace Environment Abstracts AGRICOLA AGRICOLA - Academic DOAJ Directory of Open Access Journals
DatabaseTitle	CrossRef Aerospace Database Civil Engineering Abstracts Aquatic Science & Fisheries Abstracts (ASFA) Professional Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources Technology Research Database ASFA: Aquatic Sciences and Fisheries Abstracts Engineering Research Database Environment Abstracts Advanced Technologies Database with Aerospace Water Resources Abstracts Environmental Sciences and Pollution Management AGRICOLA AGRICOLA - Academic
DatabaseTitleList	AGRICOLA Aerospace Database
Database_xml	– sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: 0YH name: Taylor & Francis Open Access url: https://www.tandfonline.com sourceTypes: Publisher
DeliveryMethod	fulltext_linktorsrc
Discipline	Environmental Sciences
EISSN	1753-8955
ExternalDocumentID	oai_doaj_org_article_07b794fcb8ba4513a2d70f960f95b3de 10_1080_17538947_2024_2317441 2317441
Genre	Research Article
GrantInformation_xml	– fundername: Natural Science Foundation of Hubei Province grantid: 2022CFB773 – fundername: the Research Program of Wuhan University-Huawei Geoinformatics Innovation Laboratory grantid: K22-4201-011 – fundername: the Science and Technology Program of Southwest China Research Institute of Electronic Equipment grantid: JS20200500114 – fundername: the CRSRI Open Research Program grantid: CKWV20231167/KF – fundername: National Natural Science Foundation of China grantid: 42101449 – fundername: the Key Research and Development Project of Jinzhong City, China grantid: Y211006 – fundername: the Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Land and Resources grantid: KF-2022-07-003
GroupedDBID	.7F 0YH 30N 4.4 5GY AAHBH AAJMT ABCCY ABDBF ABFIM ABPEM ABTAI ACGFS ACIWK ACTIO ACUHS ADCVX ADMSI AEISY AENEX AEYOC AFKVX AFRAH AHDSZ AHDZW AIJEM AIYEW AJWEG ALMA_UNASSIGNED_HOLDINGS ALQZU AQRUH AQTUD AVBZW BLEHA CCCUG CE4 CS3 DGEBU DKSSO DU5 EBS ESX GROUPED_DOAJ GTTXZ H13 HZ~ J~4 KYCEM LJTGL M4Z ML. O9- OK1 SNACF TDBHL TFL TFW TTHFI TWF TWN UU3 VAE AAYXX CITATION 7ST 7UA 8FD C1K F1W FR3 H8D H96 KR7 L.G L7M RIG SOI 7S9 L.6
ID	FETCH-LOGICAL-c484t-ed9fcf0e345544e3da10e3657bbae0c9fccd247987f2ef6bebd2b23f2a94be403
IEDL.DBID	DOA
ISICitedReferencesCount	7
ISICitedReferencesURI	http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001163582700001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN	1753-8947 1753-8955
IngestDate	Fri Oct 03 12:52:46 EDT 2025 Thu Oct 02 05:40:41 EDT 2025 Fri Jul 25 12:23:33 EDT 2025 Sat Nov 29 02:21:41 EST 2025 Tue Nov 18 22:26:59 EST 2025 Mon Oct 20 23:45:30 EDT 2025
IsDoiOpenAccess	true
IsOpenAccess	true
IsPeerReviewed	true
IsScholarly	true
Issue	1
Language	English
License	open-access: http://creativecommons.org/licenses/by/4.0/: This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.
LinkModel	DirectLink
MergedId	FETCHMERGED-LOGICAL-c484t-ed9fcf0e345544e3da10e3657bbae0c9fccd247987f2ef6bebd2b23f2a94be403
Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23
ORCID	0000-0001-5977-3081 0000-0002-2618-8596 0000-0002-3035-7727 0000-0003-0061-0602
OpenAccessLink	https://doaj.org/article/07b794fcb8ba4513a2d70f960f95b3de
PQID	3158177309
PQPubID	176143
ParticipantIDs	informaworld_taylorfrancis_310_1080_17538947_2024_2317441 proquest_miscellaneous_3165878427 crossref_citationtrail_10_1080_17538947_2024_2317441 crossref_primary_10_1080_17538947_2024_2317441 proquest_journals_3158177309 doaj_primary_oai_doaj_org_article_07b794fcb8ba4513a2d70f960f95b3de
PublicationCentury	2000
PublicationDate	2024-12-31
PublicationDateYYYYMMDD	2024-12-31
PublicationDate_xml	– month: 12 year: 2024 text: 2024-12-31 day: 31
PublicationDecade	2020
PublicationPlace	Abingdon
PublicationPlace_xml	– name: Abingdon
PublicationTitle	International journal of digital earth
PublicationYear	2024
Publisher	Taylor & Francis Taylor & Francis Ltd Taylor & Francis Group
Publisher_xml	– name: Taylor & Francis – name: Taylor & Francis Ltd – name: Taylor & Francis Group
References	e_1_3_3_30_1 e_1_3_3_18_1 e_1_3_3_17_1 e_1_3_3_39_1 e_1_3_3_19_1 e_1_3_3_14_1 e_1_3_3_37_1 e_1_3_3_13_1 e_1_3_3_38_1 e_1_3_3_16_1 e_1_3_3_35_1 e_1_3_3_15_1 e_1_3_3_36_1 e_1_3_3_10_1 e_1_3_3_33_1 e_1_3_3_34_1 e_1_3_3_12_1 e_1_3_3_31_1 e_1_3_3_11_1 e_1_3_3_32_1 e_1_3_3_40_1 e_1_3_3_41_1 e_1_3_3_7_1 e_1_3_3_6_1 e_1_3_3_9_1 e_1_3_3_8_1 e_1_3_3_29_1 e_1_3_3_28_1 e_1_3_3_25_1 e_1_3_3_24_1 e_1_3_3_27_1 e_1_3_3_26_1 e_1_3_3_3_1 e_1_3_3_21_1 e_1_3_3_44_1 e_1_3_3_2_1 e_1_3_3_20_1 e_1_3_3_5_1 e_1_3_3_23_1 e_1_3_3_42_1 e_1_3_3_4_1 e_1_3_3_22_1 e_1_3_3_43_1
References_xml	– ident: e_1_3_3_29_1 doi: 10.1155/2023/3544724 – ident: e_1_3_3_39_1 doi: 10.1016/j.isprsjprs.2019.06.015 – ident: e_1_3_3_41_1 doi: 10.1080/10095020.2023.2169199 – ident: e_1_3_3_36_1 doi: 10.1007/978-3-319-24574-4_28 – ident: e_1_3_3_33_1 doi: 10.1016/j.measurement.2019.02.023 – ident: e_1_3_3_6_1 doi: 10.1109/MSP.2017.2765202 – ident: e_1_3_3_37_1 doi: 10.1007/s11042-018-6678-x – ident: e_1_3_3_42_1 doi: 10.1080/17538947.2014.914252 – ident: e_1_3_3_32_1 doi: 10.1016/j.algal.2020.101932 – ident: e_1_3_3_24_1 doi: 10.48550/arXiv.1611.06612 – ident: e_1_3_3_4_1 doi: 10.1109/CVPR42600.2020.00565 – ident: e_1_3_3_44_1 doi: 10.1093/iob/obad024 – ident: e_1_3_3_11_1 doi: 10.1145/3422622 – ident: e_1_3_3_31_1 doi: 10.2478/cait-2013-0009 – ident: e_1_3_3_15_1 doi: 10.1109/MGRS.2021.3122248 – ident: e_1_3_3_17_1 doi: 10.5194/isprs-archives-XLII-2-W13-419-2019 – ident: e_1_3_3_13_1 doi: 10.1109/CVPR.2011.5995693 – ident: e_1_3_3_2_1 doi: 10.1145/1531326.1531330 – ident: e_1_3_3_5_1 doi: 10.1080/17538947.2011.638500 – ident: e_1_3_3_14_1 doi: 10.1016/j.isprsjprs.2022.03.006 – ident: e_1_3_3_9_1 doi: 10.1145/2070781.2024182 – ident: e_1_3_3_18_1 – ident: e_1_3_3_22_1 doi: 10.3390/rs12233908 – ident: e_1_3_3_26_1 doi: 10.1016/j.patcog.2015.04.019 – ident: e_1_3_3_20_1 doi: 10.1109/ACCESS.2019.2949635 – ident: e_1_3_3_21_1 doi: 10.13203/j.whugis20160099 – ident: e_1_3_3_30_1 doi: 10.1109/JSTARS.2017.2787116 – ident: e_1_3_3_19_1 doi: 10.1109/TCSVT.2017.2720175 – ident: e_1_3_3_34_1 doi: 10.1007/978-3-319-46448-0_5 – ident: e_1_3_3_40_1 doi: 10.5194/isprs-archives-XLII-1-W1-519-2017 – ident: e_1_3_3_8_1 doi: 10.1134/S0097807821050109 – ident: e_1_3_3_7_1 doi: 10.5194/isprs-archives-XLII-3-W10-547-2020 – ident: e_1_3_3_23_1 doi: 10.1109/TCSVT.2016.2628782 – ident: e_1_3_3_25_1 doi: 10.3390/jmse8030188 – ident: e_1_3_3_35_1 doi: 10.5194/isprsarchives-XXXVIII-1-C22-25-2011 – ident: e_1_3_3_43_1 doi: 10.13474/j.cnki.11-2246.2021.0152 – ident: e_1_3_3_12_1 doi: 10.1080/17538947.2016.1264490 – ident: e_1_3_3_28_1 doi: 10.1080/17538947.2013.866173 – ident: e_1_3_3_38_1 doi: 10.1109/CVPR.2016.445 – ident: e_1_3_3_10_1 doi: 10.1109/CVPR.2010.5539804 – ident: e_1_3_3_27_1 doi: 10.3390/rs14112616 – ident: e_1_3_3_16_1 doi: 10.1109/TGRS.2022.3222776 – ident: e_1_3_3_3_1 doi: 10.5244/C.25.14
SSID	ssj0060443
Score	2.3771844
Snippet	Fast and high-precision urban scene 3D modeling is the foundational data infrastructure for the digital earth and smart cities. However, due to challenges such... ABSTRACTFast and high-precision urban scene 3D modeling is the foundational data infrastructure for the digital earth and smart cities. However, due to...
SourceID	doaj proquest crossref informaworld
SourceType	Open Website Aggregation Database Enrichment Source Index Database Publisher
SubjectTerms	Accuracy base maps cities Clustering Complementation Culling data collection Depth depth map optimization digital database Digital imaging extracts High-completeness scene 3D modeling image analysis Image processing Image reconstruction least squares mesh refinement Modelling Optimization porous media Ray tracing Redundancy Three dimensional models UAV images Water Water depth water-area intelligent complementation
SummonAdditionalLinks	– databaseName: Taylor & Francis Journals Complete dbid: TFW link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lb9QwELZQxYEL74qFgozE1cVrT-L4WKArDqji0JbeLNuxYSW6qTYp_RX9z4wdJ7yEeoBjYk8SOzNfZpzxN4S8qmwVopWeSYuxCYg2MGuVZ60VIK1tnM3VGk4_qKOj5uxMfyzZhH1Jq0wxdByJIjJWJ-O2rp8y4l4ncslGg8LoTsA-OigK8tZ19OxTUt_x6tOExTWHMcUeJVgSmfbw_O0qv3ydMon_bxSmf0B2_g6t7v2HEdwnd4sTSg9GrXlAboXNQ7J7-GPPGzYWo-8fkesUpjJ7OXSZ3pUmhmN2sS3FeWiigwpUvqM5tp75aOlYm5qmhV56hR7tlll0UOl65gAdaM5nH9PXswiOB8X6L7RDIDsvO0QpTgs9OTil63PEvv4xOVkdHr99z0oVB-ahgYGFVkcfeZCAngsE2dolHtSVcs4G7rHRtwKUblQUIdYuuFY4IaOwGlwALnfJzqbbhCeEBh49d7ZG_aoANUq7FA0qXzfcQ127BYHp7RlfKM5TpY2vZlmYUKeJN2niTZn4BdmfxS5Gjo-bBN4k1Zg7J4rufKLbfjbF4g1XDrEueof6DtUSbaFVPGLAGHXlZBsWRP-sWGbIKzRxLKdi5A0PsDdpoSmYk0SqZqkQsfWCvJybES3SLyC7Cd1l6oMep2pAqKf_cPtn5E46HPku98gOalZ4Tm77b8O6377IFvgdRQUwfA priority: 102 providerName: Taylor & Francis
Title	Full-automatic high-precision scene 3D reconstruction method with water-area intelligent complementation and mesh optimization for UAV images
URI	https://www.tandfonline.com/doi/abs/10.1080/17538947.2024.2317441 https://www.proquest.com/docview/3158177309 https://www.proquest.com/docview/3165878427 https://doaj.org/article/07b794fcb8ba4513a2d70f960f95b3de
Volume	17
WOSCitedRecordID	wos001163582700001&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: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 1753-8955 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0060443 issn: 1753-8947 databaseCode: DOA dateStart: 20220101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVAWR databaseName: Taylor & Francis Journals Complete customDbUrl: eissn: 1753-8955 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0060443 issn: 1753-8947 databaseCode: TFW dateStart: 20080301 isFulltext: true titleUrlDefault: https://www.tandfonline.com providerName: Taylor & Francis – providerCode: PRVAWR databaseName: Taylor & Francis Open Access customDbUrl: eissn: 1753-8955 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0060443 issn: 1753-8947 databaseCode: 0YH dateStart: 20221201 isFulltext: true titleUrlDefault: https://www.tandfonline.com providerName: Taylor & Francis
link	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lb9QwELag4sAF8apYKJUrcXXrxJM4Phboqoeq4tCWcopsxxYr0Wy1m9Jf0f_M-JG0lMNeuESK7Yn8-DyecexvCPlU6cp5LSwTGn0TKDvHtJaWdboEoXVjdIzWcHEiT0-by0v17UGor3AmLNEDp4474NIgZLw1KAZVgZ_sJPdod3tVGdG5oH25VKMzlXRwzSEdrUdjnDUK5Hh3p-EHIS0koW9Ywj6aNxKg-GtViuT9j6hL_1HVcf2ZvyQvsuFID1OFX5Enrn9Nto_u76lhZp6o6zfkLriWTN8My0jJSgMrMbte5YA6NFA4OSq-0ugPTxyyNMWTpmFzlt6iFbpiGo1Kuph4Owcaz6CnI-dRRPcdiq1_0iUqn6t8q5Nik-j54QVdXKG-Wr8l5_Ojsy_HLEdeYBYaGJjrlLeeOwFobYATnS7wpa6kMdpxi5m2K0GqRvrS-do405WmFL7UCowDLrbJVr_s3TtCHfeWG10jJipAFCgTPDhp64ZbqGszIzD2fGszLXmIjvGrLTJ76ThgbRiwNg_YjOxPYteJl2OTwOcwrFPhQKsdExBsbQZbuwlsM6IegqId4q6KTyFQWrGhAjsjgtqsJ4JI1RQStayakb0pG2d4-G2je7e8CWXQSpQNlPL9_2jDB_I8VCuRVe6QLYSY-0ie2d_DYr3aJU_5j-PdOJnweTb__gdkUyKo
linkProvider	Directory of Open Access Journals
linkToHtml	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lb9QwELZQQYIL74qFAkbi6uK1nTg5Fmi1iGVPbVVOlu3YsBLdVLtp-yv4z8w4Tigg1AMcE2fycL6ZzDgz3xDyurBFiFZ6Ji3EJko0gVmrPWusUNLaytnUreF4rheL6uSkvloLg2mVGEPHnigi2WpUblyMHlLi3iC7ZFUrDeGdULvgoWiFtes3i0pXiHL-eTZY45KrPskeRBjKDFU8fzvNL9-nROP_G4npH0Y7fYkO7v2PZ7hP7mY_lO71wHlAboTVQ7K9_7PsDQaz3m8eke8YqTJ73rWJ4ZUiyTE7W-f-PBQZoQKV72kKr0dKWtq3p6a41ksvwaldMws-Kl2ONKAdTSntfQZ7EoEHArHNV9qCLTvNRaIU5oUe7R3T5SmYv81jcnSwf_huxnIjB-ZVpToWmjr6yINU4LyoIBs7hY2y0M7ZwD0M-kYoXVc6ihBLF1wjnJBR2Fq5oLjcJlurdhWeEBp49NzZEiBWKABV7TAg1L6suFdl6SZEDa_P-Mxyjs02vplpJkMdJt7gxJs88ROyO4qd9TQf1wm8RWyMByNLd9rRrr-YrPSGawfmLnoHkFfFFNSh0TxCzBjrwskmTEh9FVmmS4s0se-oYuQ1N7AzwNBks4MiRTXVYLTrCXk1DoPBwL9AdhXaczymRD1RQj_9h8u_JLdnh5_mZv5h8fEZuYNDPf3lDtkClIXn5Ja_6Jab9Yukjj8A7YQ0Yw
linkToPdf	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lb9QwELZQixAX3hULBYzE1SUbO3Fy7GsFolr10JbeLD9hJbpZbdL2V_CfmXGclIdQD3DMOrNJvN98mfGOvyHkXaELHzS3jGvITUTuPNNaWuZ0LrjWldGxW8PZkZzPq_Pz-jhVE7aprBJz6NALRUSuRudeuTBUxL1HccmqFhKyu1zsQIAiBW5d34TQuUBgn8w-D2RcZqKvsQcThjbDJp6_fc0vr6eo4v-bhukfnB1fRLOH_-ERHpEHKQqluz1sHpM7fvmEbB3ebHqDweT17VPyHfNUpi-7Juq7UpQ4Zqt16s5DUQ_KU35AY3I9CtLSvjk1xZVeeg0h7ZppiFDpYhQB7WgsaO_r16MJPA-YtV9pA0x2kbaIUpgWerp7RhcXQH7tM3I6OzzZ_8BSGwdmRSU65l0dbMg8FxC6CM-dnsJBWUhjtM8sDFqXC1lXMuQ-lMYbl5uch1zXwniR8S2ysWyW_jmhPgs2M7oEgBUCIFUbTAelLavMirI0EyKGX0_ZpHGOrTa-qWmSQh0mXuHEqzTxE7Izmq16kY_bDPYQGuPJqNEdP2jWX1RyeZVJA2QXrAHAi2IKzuBkFiBjDHVhuPMTUv8MLNXFJZrQ91NR_JYb2B5QqBLpoElRTSVQdj0hb8dhoAv8D0gvfXOJ50DIKSuRyxf_cPk35N7xwUwdfZx_eknu40ivfblNNgBk_hW5a6-6Rbt-HZ3xB4lNM1E
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=Full-automatic+high-precision+scene+3D+reconstruction+method+with+water-area+intelligent+complementation+and+mesh+optimization+for+UAV+images&rft.jtitle=International+journal+of+digital+earth&rft.au=Guo%2C+Bingxuan&rft.au=Ge%2C+Yingwei&rft.au=Xiao%2C+Xiongwu&rft.au=Wang%2C+Chao&rft.date=2024-12-31&rft.issn=1753-8947&rft.eissn=1753-8955&rft.volume=17&rft.issue=1&rft_id=info:doi/10.1080%2F17538947.2024.2317441&rft.externalDBID=n%2Fa&rft.externalDocID=10_1080_17538947_2024_2317441
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1753-8947&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1753-8947&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1753-8947&client=summon