Dust Removal from 3D Point Cloud Data in Mine Plane Areas Based on Orthogonal Total Least Squares Fitting and GA-TELM
With the further development of the construction of “smart mine,” the establishment of three-dimensional (3D) point cloud models of mines has become very common. However, the truck operation caused the 3D point cloud model of the mining area to contain dust points, and the 3D point cloud model estab...
Saved in:
| Published in | Computational intelligence and neuroscience Vol. 2021; no. 1; p. 9927982 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
Hindawi
2021
John Wiley & Sons, Inc |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1687-5265 1687-5273 1687-5273 |
| DOI | 10.1155/2021/9927982 |
Cover
| Abstract | With the further development of the construction of “smart mine,” the establishment of three-dimensional (3D) point cloud models of mines has become very common. However, the truck operation caused the 3D point cloud model of the mining area to contain dust points, and the 3D point cloud model established by the Context Capture modeling software is a hollow structure. The previous point cloud denoising algorithms caused holes in the model. In view of the above problems, this paper proposes the point cloud denoising method based on orthogonal total least squares fitting and two-layer extreme learning machine improved by genetic algorithm (GA-TELM). The steps are to separate dust points and ground points by orthogonal total least squares fitting and use GA-TELM to repair holes. The advantages of the proposed method are listed as follows. First, this method could denoise without generating holes, which solves engineering problems. Second, GA-TELM has a better effect in repairing holes compared with the other methods considered in this paper. Finally, this method starts from actual problems and could be used in mining areas with the same problems. Experimental results demonstrate that it can remove dust spots in the flat area of the mine effectively and ensure the integrity of the model. |
|---|---|
| AbstractList | With the further development of the construction of "smart mine," the establishment of three-dimensional (3D) point cloud models of mines has become very common. However, the truck operation caused the 3D point cloud model of the mining area to contain dust points, and the 3D point cloud model established by the Context Capture modeling software is a hollow structure. The previous point cloud denoising algorithms caused holes in the model. In view of the above problems, this paper proposes the point cloud denoising method based on orthogonal total least squares fitting and two-layer extreme learning machine improved by genetic algorithm (GA-TELM). The steps are to separate dust points and ground points by orthogonal total least squares fitting and use GA-TELM to repair holes. The advantages of the proposed method are listed as follows. First, this method could denoise without generating holes, which solves engineering problems. Second, GA-TELM has a better effect in repairing holes compared with the other methods considered in this paper. Finally, this method starts from actual problems and could be used in mining areas with the same problems. Experimental results demonstrate that it can remove dust spots in the flat area of the mine effectively and ensure the integrity of the model.With the further development of the construction of "smart mine," the establishment of three-dimensional (3D) point cloud models of mines has become very common. However, the truck operation caused the 3D point cloud model of the mining area to contain dust points, and the 3D point cloud model established by the Context Capture modeling software is a hollow structure. The previous point cloud denoising algorithms caused holes in the model. In view of the above problems, this paper proposes the point cloud denoising method based on orthogonal total least squares fitting and two-layer extreme learning machine improved by genetic algorithm (GA-TELM). The steps are to separate dust points and ground points by orthogonal total least squares fitting and use GA-TELM to repair holes. The advantages of the proposed method are listed as follows. First, this method could denoise without generating holes, which solves engineering problems. Second, GA-TELM has a better effect in repairing holes compared with the other methods considered in this paper. Finally, this method starts from actual problems and could be used in mining areas with the same problems. Experimental results demonstrate that it can remove dust spots in the flat area of the mine effectively and ensure the integrity of the model. With the further development of the construction of “smart mine,” the establishment of three‐dimensional (3D) point cloud models of mines has become very common. However, the truck operation caused the 3D point cloud model of the mining area to contain dust points, and the 3D point cloud model established by the Context Capture modeling software is a hollow structure. The previous point cloud denoising algorithms caused holes in the model. In view of the above problems, this paper proposes the point cloud denoising method based on orthogonal total least squares fitting and two‐layer extreme learning machine improved by genetic algorithm (GA‐TELM). The steps are to separate dust points and ground points by orthogonal total least squares fitting and use GA‐TELM to repair holes. The advantages of the proposed method are listed as follows. First, this method could denoise without generating holes, which solves engineering problems. Second, GA‐TELM has a better effect in repairing holes compared with the other methods considered in this paper. Finally, this method starts from actual problems and could be used in mining areas with the same problems. Experimental results demonstrate that it can remove dust spots in the flat area of the mine effectively and ensure the integrity of the model. |
| Audience | Academic |
| Author | Zhang, Huiyuan Xiao, Dong Gao, Jingxiang Wang, Jingli |
| AuthorAffiliation | 1 School of Transportation Engineering, Shenyang Jianzhu University, Shenyang, China 3 Liaoning Key Laboratory of Intelligent Diagnosis and Safety for Metallurgical Industry, Northeastern University, Shenyang 110819, China 4 School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China 2 College of Information Science and Engineering, Northeastern University, Shenyang 110819, China |
| AuthorAffiliation_xml | – name: 3 Liaoning Key Laboratory of Intelligent Diagnosis and Safety for Metallurgical Industry, Northeastern University, Shenyang 110819, China – name: 4 School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China – name: 1 School of Transportation Engineering, Shenyang Jianzhu University, Shenyang, China – name: 2 College of Information Science and Engineering, Northeastern University, Shenyang 110819, China |
| Author_xml | – sequence: 1 givenname: Jingli orcidid: 0000-0003-4363-2959 surname: Wang fullname: Wang, Jingli organization: School of Transportation EngineeringShenyang Jianzhu UniversityShenyangChinasjzu.edu.cn – sequence: 2 givenname: Huiyuan orcidid: 0000-0001-9054-5853 surname: Zhang fullname: Zhang, Huiyuan organization: College of Information Science and EngineeringNortheastern UniversityShenyang 110819Chinaneu.edu.cn – sequence: 3 givenname: Jingxiang surname: Gao fullname: Gao, Jingxiang organization: School of Environment and Spatial InformaticsChina University of Mining and TechnologyXuzhou 221116Chinacumt.edu.cn – sequence: 4 givenname: Dong orcidid: 0000-0002-0401-6654 surname: Xiao fullname: Xiao, Dong organization: College of Information Science and EngineeringNortheastern UniversityShenyang 110819Chinaneu.edu.cn |
| BookMark | eNqFkVtr3DAQhU1JaS7tW3-AoC-F1o1lWZL9Utju5lLYkNBun8XYknYVvNJGkhPy7yvjJaGBti8jwXxzhnPmODuwzqose4-LLxhTeloWJT5tmpI3dfkqO8Ks5jktOTl4-jN6mB2HcFsUlNOifJMdkopSXpb8KBsWQ4joh9q6e-iR9m6LyALdOGMjmvdukGgBEZCx6MpYhW56SHXmFQT0DYKSyFl07ePGrZ1NAisXU12mdkQ_7wbwKqBzE6OxawRWootZvjpbXr3NXmvog3q3f0-yX-dnq_llvry--D6fLfOuoiTmlWwwsIYC1rxtiSaSSVAtaA2aKN7qqtFNS2vMlNa0liQZxoUkddUxSWtCTrJ80h3sDh4foO_Fzpst-EeBCzHGJ8b4xD6-xH-d-N3QbpXslI0enmccGPFnx5qNWLt7UadAcVMlgY97Ae_uBhWi2JrQqX6MzQ1BlJQzRtMdioR-eIHeusGnECeKVgnDz9QaeiWM1S7t7UZRMWMNq9N1a56ozxPVeReCV_p_NssXeGciRONGU6b_29CnaWhjrIQH8-8VvwE4xMkj |
| CitedBy_id | crossref_primary_10_3788_CJL221153 crossref_primary_10_3389_fphy_2022_1083558 crossref_primary_10_3390_s23167208 crossref_primary_10_1088_1361_6501_ad4e55 crossref_primary_10_1016_j_measurement_2024_115095 |
| Cites_doi | 10.1016/j.infrared.2020.103367 10.1155/2016/3045254 10.1631/jzus.a071465 10.1109/tgrs.2018.2890040 10.1109/tip.2016.2529506 10.1109/access.2019.2928141 10.1109/ICRA.2011.5980567 10.1016/j.cagd.2015.03.011 10.1109/tip.2007.901238 10.1016/j.infrared.2019.01.005 10.1016/j.neucom.2015.11.009 10.1145/1276377.1276406 10.1111/j.1467-8659.2009.01388.x 10.1080/19942060.2019.1658228 10.1109/3DV.2018.00058 10.1111/cgf.13068 10.1007/s00371-017-1391-8 10.1109/access.2017.2764047 10.1016/j.microc.2020.104880 10.1155/2014/982045 10.1109/CVPR.2005.38 10.1109/ICCV.2017.253 10.1145/1276377.1276405 10.1109/TSP.2017.2771730 10.1111/cgf.12139 |
| ContentType | Journal Article |
| Copyright | Copyright © 2021 Jingli Wang et al. COPYRIGHT 2021 John Wiley & Sons, Inc. Copyright © 2021 Jingli Wang et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 Copyright © 2021 Jingli Wang et al. 2021 |
| Copyright_xml | – notice: Copyright © 2021 Jingli Wang et al. – notice: COPYRIGHT 2021 John Wiley & Sons, Inc. – notice: Copyright © 2021 Jingli Wang et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 – notice: Copyright © 2021 Jingli Wang et al. 2021 |
| DBID | RHU RHW RHX AAYXX CITATION 3V. 7QF 7QQ 7SC 7SE 7SP 7SR 7TA 7TB 7TK 7U5 7X7 7XB 8AL 8BQ 8FD 8FE 8FG 8FH 8FI 8FJ 8FK ABJCF ABUWG AFKRA ARAPS AZQEC BBNVY BENPR BGLVJ BHPHI CCPQU CWDGH DWQXO F28 FR3 FYUFA GHDGH GNUQQ H8D H8G HCIFZ JG9 JQ2 K7- K9. KR7 L6V L7M LK8 L~C L~D M0N M0S M1P M7P M7S P5Z P62 PHGZM PHGZT PIMPY PJZUB PKEHL PPXIY PQEST PQGLB PQQKQ PQUKI PRINS PSYQQ PTHSS Q9U 7X8 5PM ADTOC UNPAY |
| DOI | 10.1155/2021/9927982 |
| DatabaseName | Hindawi Publishing Complete Hindawi Publishing Subscription Journals Hindawi Publishing Open Access CrossRef ProQuest Central (Corporate) Aluminium Industry Abstracts Ceramic Abstracts Computer and Information Systems Abstracts Corrosion Abstracts Electronics & Communications Abstracts Engineered Materials Abstracts Materials Business File Mechanical & Transportation Engineering Abstracts Neurosciences Abstracts Solid State and Superconductivity Abstracts Health & Medical Collection ProQuest Central (purchase pre-March 2016) Computing Database (Alumni Edition) METADEX Technology Research Database ProQuest SciTech Collection ProQuest Technology Collection ProQuest Natural Science Journals Hospital Premium Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) Materials Science & Engineering Collection ProQuest Central (Alumni) ProQuest Central UK/Ireland Advanced Technologies & Computer Science Collection ProQuest Central Essentials - QC Biological Science Collection PROQUEST ProQuest Technology Collection Natural Science Collection ProQuest One Middle East & Africa Database ProQuest Central ANTE: Abstracts in New Technology & Engineering Engineering Research Database Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Central Student Aerospace Database Copper Technical Reference Library SciTech Premium Collection Materials Research Database ProQuest Computer Science Collection Computer Science Database ProQuest Health & Medical Complete (Alumni) Civil Engineering Abstracts ProQuest Engineering Collection Advanced Technologies Database with Aerospace Biological Sciences Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional Computing Database ProQuest Health & Medical Collection Medical Database Biological science database Engineering Database Advanced Technologies & Aerospace Database ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Premium ProQuest One Academic ProQuest Publicly Available Content Database ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) ProQuest One Health & Nursing ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China ProQuest One Psychology Engineering Collection ProQuest Central Basic MEDLINE - Academic PubMed Central (Full Participant titles) Unpaywall for CDI: Periodical Content Unpaywall |
| DatabaseTitle | CrossRef Publicly Available Content Database Materials Research Database ProQuest One Psychology Computer Science Database ProQuest Central Student ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Essentials ProQuest Computer Science Collection Computer and Information Systems Abstracts SciTech Premium Collection ProQuest Central China Materials Business File ProQuest One Applied & Life Sciences Engineered Materials Abstracts Health Research Premium Collection Natural Science Collection Health & Medical Research Collection Biological Science Collection ProQuest Central (New) Engineering Collection ANTE: Abstracts in New Technology & Engineering Advanced Technologies & Aerospace Collection Engineering Database Aluminium Industry Abstracts ProQuest Biological Science Collection ProQuest One Academic Eastern Edition Electronics & Communications Abstracts ProQuest Hospital Collection ProQuest Technology Collection Health Research Premium Collection (Alumni) Ceramic Abstracts Biological Science Database Neurosciences Abstracts ProQuest Hospital Collection (Alumni) ProQuest Health & Medical Complete ProQuest One Academic UKI Edition Solid State and Superconductivity Abstracts Engineering Research Database ProQuest One Academic ProQuest One Academic (New) Technology Collection Technology Research Database Computer and Information Systems Abstracts – Academic ProQuest One Academic Middle East (New) Mechanical & Transportation Engineering Abstracts ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) ProQuest One Community College ProQuest One Health & Nursing ProQuest Natural Science Collection ProQuest Central Aerospace Database Copper Technical Reference Library ProQuest Health & Medical Research Collection ProQuest Engineering Collection Middle East & Africa Database Health and Medicine Complete (Alumni Edition) ProQuest Central Korea Advanced Technologies Database with Aerospace Civil Engineering Abstracts ProQuest Computing ProQuest Central Basic ProQuest Computing (Alumni Edition) ProQuest SciTech Collection METADEX Computer and Information Systems Abstracts Professional Advanced Technologies & Aerospace Database ProQuest Medical Library Materials Science & Engineering Collection Corrosion Abstracts ProQuest Central (Alumni) MEDLINE - Academic |
| DatabaseTitleList | MEDLINE - Academic CrossRef Publicly Available Content Database |
| Database_xml | – sequence: 1 dbid: RHX name: Hindawi Publishing Open Access url: http://www.hindawi.com/journals/ sourceTypes: Publisher – sequence: 2 dbid: UNPAY name: Unpaywall url: https://proxy.k.utb.cz/login?url=https://unpaywall.org/ sourceTypes: Open Access Repository – sequence: 3 dbid: 8FG name: ProQuest Technology Collection url: https://search.proquest.com/technologycollection1 sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Anatomy & Physiology Engineering |
| EISSN | 1687-5273 |
| Editor | Haber, Rodolfo E. |
| Editor_xml | – sequence: 1 givenname: Rodolfo E. surname: Haber fullname: Haber, Rodolfo E. |
| ExternalDocumentID | 10.1155/2021/9927982 PMC8455194 A696852687 10_1155_2021_9927982 |
| GeographicLocations | China |
| GeographicLocations_xml | – name: China |
| GrantInformation_xml | – fundername: National Key Research and Development Program of China grantid: 2020AAA0109203 – fundername: National Natural Science Foundation of China grantid: 52074064; 62173073 – fundername: Natural Science Foundation of Liaoning Province grantid: 2019-MS-120 – fundername: Fundamental Research Funds for the Central Universities grantid: N2104026; N2018008; N2001002 |
| GroupedDBID | --- 188 29F 2WC 3V. 4.4 53G 5GY 5VS 6J9 7X7 8FE 8FG 8FH 8FI 8FJ 8R4 8R5 AAFWJ AAJEY AAKPC ABDBF ABIVO ABJCF ABUWG ACGFO ACIWK ACM ACPRK ADBBV ADRAZ AENEX AFKRA AHMBA AINHJ ALMA_UNASSIGNED_HOLDINGS AOIJS ARAPS AZQEC BAWUL BBNVY BCNDV BENPR BGLVJ BHPHI BPHCQ BVXVI CCPQU CS3 CWDGH DIK DWQXO E3Z EBD EBS EMOBN ESX F5P FYUFA GNUQQ GROUPED_DOAJ GX1 HCIFZ HMCUK HYE I-F IAO ICD INH INR IPY ITC K6V K7- KQ8 L6V LK8 M0N M1P M48 M7P M7S MK~ O5R O5S OK1 P2P P62 PIMPY PQQKQ PROAC PSQYO PSYQQ PTHSS Q2X RHU RHW RHX RNS RPM SV3 TR2 TUS UKHRP XH6 ~8M 0R~ 24P 2UF AAMMB AAYXX ACCMX ACUHS AEFGJ AGXDD AIDQK AIDYY C1A CITATION EJD H13 IHR IL9 OVT PGMZT PHGZM PHGZT PJZUB PPXIY PQGLB PUEGO UZ4 7QF 7QQ 7SC 7SE 7SP 7SR 7TA 7TB 7TK 7U5 7XB 8AL 8BQ 8FD 8FK F28 FR3 H8D H8G JG9 JQ2 K9. KR7 L7M L~C L~D PKEHL PQEST PQUKI PRINS Q9U 7X8 5PM ADTOC UNPAY |
| ID | FETCH-LOGICAL-c453t-4d91a695a1f7bb3f3d6daebaffaf3e7bf49f9b5816eff58d316810d384c6d5833 |
| IEDL.DBID | M48 |
| ISSN | 1687-5265 1687-5273 |
| IngestDate | Sun Oct 26 04:13:14 EDT 2025 Tue Sep 30 16:41:36 EDT 2025 Sat Sep 27 23:56:58 EDT 2025 Tue Oct 07 05:58:57 EDT 2025 Mon Oct 20 22:47:41 EDT 2025 Thu Apr 24 22:54:43 EDT 2025 Wed Oct 01 02:22:14 EDT 2025 Sun Jun 02 18:51:55 EDT 2024 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 1 |
| Language | English |
| License | This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. cc-by |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c453t-4d91a695a1f7bb3f3d6daebaffaf3e7bf49f9b5816eff58d316810d384c6d5833 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Academic Editor: Rodolfo E. Haber |
| ORCID | 0000-0001-9054-5853 0000-0002-0401-6654 0000-0003-4363-2959 |
| OpenAccessLink | http://journals.scholarsportal.info/openUrl.xqy?doi=10.1155/2021/9927982 |
| PMID | 34557227 |
| PQID | 2576545051 |
| PQPubID | 237303 |
| ParticipantIDs | unpaywall_primary_10_1155_2021_9927982 pubmedcentral_primary_oai_pubmedcentral_nih_gov_8455194 proquest_miscellaneous_2576650570 proquest_journals_2576545051 gale_infotracmisc_A696852687 crossref_primary_10_1155_2021_9927982 crossref_citationtrail_10_1155_2021_9927982 hindawi_primary_10_1155_2021_9927982 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2021-00-00 |
| PublicationDateYYYYMMDD | 2021-01-01 |
| PublicationDate_xml | – year: 2021 text: 2021-00-00 |
| PublicationDecade | 2020 |
| PublicationPlace | New York |
| PublicationPlace_xml | – name: New York |
| PublicationTitle | Computational intelligence and neuroscience |
| PublicationYear | 2021 |
| Publisher | Hindawi John Wiley & Sons, Inc |
| Publisher_xml | – name: Hindawi – name: John Wiley & Sons, Inc |
| References | Wang Y. (e_1_2_9_17_2) 2019; 35 e_1_2_9_30_2 e_1_2_9_10_2 Lu T. (e_1_2_9_20_2) 2008; 33 e_1_2_9_12_2 e_1_2_9_31_2 e_1_2_9_11_2 Zhao Y. (e_1_2_9_18_2) 2019; 73 e_1_2_9_14_2 e_1_2_9_13_2 e_1_2_9_16_2 e_1_2_9_15_2 e_1_2_9_23_2 e_1_2_9_22_2 e_1_2_9_7_2 e_1_2_9_6_2 Ye L. (e_1_2_9_21_2) 2013; 71 e_1_2_9_5_2 e_1_2_9_4_2 e_1_2_9_3_2 e_1_2_9_2_2 e_1_2_9_1_2 e_1_2_9_9_2 e_1_2_9_8_2 e_1_2_9_25_2 e_1_2_9_24_2 e_1_2_9_27_2 e_1_2_9_26_2 e_1_2_9_29_2 e_1_2_9_28_2 Liu L. (e_1_2_9_19_2) 2020; 56 |
| References_xml | – ident: e_1_2_9_27_2 doi: 10.1016/j.infrared.2020.103367 – ident: e_1_2_9_31_2 doi: 10.1155/2016/3045254 – ident: e_1_2_9_14_2 doi: 10.1631/jzus.a071465 – volume: 35 year: 2019 ident: e_1_2_9_17_2 article-title: Denoising method for 3D point cloud data of ancient buildings publication-title: Journal of Shenyang Jianzhu University (Natural Science.) – ident: e_1_2_9_23_2 doi: 10.1109/tgrs.2018.2890040 – ident: e_1_2_9_15_2 – ident: e_1_2_9_2_2 doi: 10.1109/tip.2016.2529506 – ident: e_1_2_9_29_2 doi: 10.1109/access.2019.2928141 – ident: e_1_2_9_1_2 doi: 10.1109/ICRA.2011.5980567 – volume: 71 start-page: 37 year: 2013 ident: e_1_2_9_21_2 article-title: Research on denoising method of point cloud data based on orthogonal whole least squares plane fitting publication-title: Bulletin of Surveying and Mapping – ident: e_1_2_9_7_2 doi: 10.1016/j.cagd.2015.03.011 – volume: 56 start-page: 373 year: 2020 ident: e_1_2_9_19_2 article-title: A denoising method for point cloud of cultural relics with geometric feature preservation publication-title: Journal of Data Acquisition & Processing – ident: e_1_2_9_13_2 doi: 10.1109/tip.2007.901238 – ident: e_1_2_9_24_2 doi: 10.1016/j.infrared.2019.01.005 – ident: e_1_2_9_25_2 doi: 10.1016/j.neucom.2015.11.009 – ident: e_1_2_9_9_2 doi: 10.1145/1276377.1276406 – ident: e_1_2_9_10_2 doi: 10.1111/j.1467-8659.2009.01388.x – ident: e_1_2_9_22_2 doi: 10.1080/19942060.2019.1658228 – ident: e_1_2_9_16_2 doi: 10.1109/3DV.2018.00058 – ident: e_1_2_9_6_2 doi: 10.1111/cgf.13068 – ident: e_1_2_9_8_2 doi: 10.1007/s00371-017-1391-8 – ident: e_1_2_9_28_2 doi: 10.1109/access.2017.2764047 – volume: 73 year: 2019 ident: e_1_2_9_18_2 article-title: Research on 3D point cloud hybrid denoising algorithm publication-title: Information and Communications – ident: e_1_2_9_26_2 doi: 10.1016/j.microc.2020.104880 – ident: e_1_2_9_30_2 doi: 10.1155/2014/982045 – ident: e_1_2_9_12_2 doi: 10.1109/CVPR.2005.38 – volume: 33 start-page: 504 year: 2008 ident: e_1_2_9_20_2 article-title: Linear regression modeling and solution method based on total least squares publication-title: Journal of Wuhan University (Natural Science Edition) – ident: e_1_2_9_4_2 doi: 10.1109/ICCV.2017.253 – ident: e_1_2_9_11_2 doi: 10.1145/1276377.1276405 – ident: e_1_2_9_3_2 doi: 10.1109/TSP.2017.2771730 – ident: e_1_2_9_5_2 doi: 10.1111/cgf.12139 |
| SSID | ssj0057502 |
| Score | 2.2551556 |
| Snippet | With the further development of the construction of “smart mine,” the establishment of three-dimensional (3D) point cloud models of mines has become very... With the further development of the construction of “smart mine,” the establishment of three‐dimensional (3D) point cloud models of mines has become very... With the further development of the construction of "smart mine," the establishment of three-dimensional (3D) point cloud models of mines has become very... |
| SourceID | unpaywall pubmedcentral proquest gale crossref hindawi |
| SourceType | Open Access Repository Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 9927982 |
| SubjectTerms | Algorithms Analysis Artificial neural networks Data models Dust Dust control Engineering Genetic algorithms Learning algorithms Least squares Machine learning Methods Noise Noise reduction Principal components analysis Software Three dimensional models |
| SummonAdditionalLinks | – databaseName: Hindawi Publishing Open Access dbid: RHX link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3db9MwELdgEoIXNBiIsIEOaewFRTSL7TiPZV2p0ApodFLfIn_SSJ0z1kTT_nt8SVrRIT4eIztO4vPd_c75-Y6Qw1y4VCbUxcG72ZiKYxcLbUKUQpmyGddOtSSa6Wc-uaCf5mzeJ0la_f4LP3g7DM-T93l-nOUi2Nr7giNz63wyXxvcADg6aiEP-oLZ3tf89jv3bnme3v4-WGDke1Nu4cu77MiHjb-StzdyufzF9Yx3yeMeM8KwE_ITcs_6p2Rv6EO8fHkLR9CyONvt8T3SjJpVDef2sgpLCPDwCKQj-FqVvoaTZdUYGMlaQulhGvAlYM0iG0a2cgUfgkMzUHn4cl0vqu8I0WFWBXAOZ1jgB779aPCwEozLlisN0hv4OIxnp2fTZ-RifDo7mcR9aYVYU5bWMTV5InnOZOIypVKXGm6kVdI56VKbKUdzlysmEm6dY8JgeatkYFJBNTd4UOs52fGVty8IUMZUogepNM5QO1CKZso4mwmtg6tTPCLv1tNe6D7vOJa_WBZt_MFYgUIqeiFF5O2m91WXb-MP_Q5QggWqYRhNB6XQxRAz_WD-miwih71k_zXKWuxFr7urAkOwgCuDtYrIm00zPgD5aN5WTdeHY2w3iEi2tVw2z8O83dstvly0-btFmLIkpxE52iysv77ly__7mH3yCC-7_aEDslNfN_ZVQEy1et3qy0_yrgxm priority: 102 providerName: Hindawi Publishing – databaseName: PROQUEST dbid: BENPR link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwhV1Lb9NAEF6VVAg4IGhBGAoapNILshrHu34cEEqbhAo1oSqp1Ju1TxIpXaeNrar_nh0_QoNEOXu8u_K81zPfELKfJibkATW-827ap0nP-IlULkuhTOg4kkZURTTjSXRyQb9fssstMml7YbCssrWJlaFWucQ78kMMjJ23dzL0dXnt49Qo_LvajtDgzWgF9aWCGHtEtnuIjNUh20fDydl5a5tdbFJXIUZOtRAYvi2FZwxvAYLDNO3FadLbcFKNqX48wyT5dr4Riv5dSPmktEt-d8sXi3teavSCPG_CS-jX8vCSbGm7Q3b71qXWV3dwAFXBZ3WTvkOe3cMi3CXloFwVcK6vcid7gF0nEA7gLJ_bAo4XealgwAsOcwtj9xLgsCPt9tF8BUfOEyrILfy4KWb5L4ztYZq7qB5OcTIQ_LwuscsJRvOqyBq4VfCt70-Hp-NX5GI0nB6f-M1MBl9SFhY-VWnAo5TxwMRChCZUkeJacGO4CXUsDE1NKlgSRNoYliicixV0VZhQGSns8HpNOja3-g0BypgIZDfkyiiqu0LQWCij40RK5yNF5JHPLRMy2QCW49yMRVYlLoxlyLKsYZlHPq2plzVQxz_o9pCfGeqvW006bZJZHyGCEPgm9sh-w-f_rdIKQdYo_Sr7I6Ie-bh-jBtgIZvVeVnTRJgUdj0SbwjPej8E_N58YuezCvg7cZ8sSKlHDtZi9uAp3z58ynfkKVLXF0p7pFPclPq9C7EK8aHRm9-FtyGV priority: 102 providerName: ProQuest – databaseName: Unpaywall dbid: UNPAY link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3bbtNAEF2VVAheuBWEoaBBKn1BTuN61xfxFJqGCjWlgkQqUiVrryQiXZfGVlSe-AS-kS9hx7EDqcRFvNnyaNa7O7szZzV7hpCtNDEhD6jxnXfTPk12jZ9I5VAKZULHkTSiSqIZHEUHI_rmhJ2skZfNXRiFFPE5V7P2GDHpfFLt1vW4znakQ4sOrgc7abobp4kDhcpcI-sRc4F4i6yPjo67HxBiRW7pIPH7z-c4bNLeGVtRseKQ6m35et34Sth5NWnyRmnP-eWcT6e_eKT-bXLa9GWRiPKpXRaiLb9coXn8z87eIbfqSBW6C9O6S9a0vUc2utah9LNL2IYqd7Q6lN8g8145K-CdPsud4QJeWYGwB8f5xBawN81LBT1ecJhYGLioFrBSknaaNZ_BK-dGFeQW3l4U4_wjAgMY5g4SwCGWFYL3n0u8IgX9SZWhDdwqeN39_vXbcP9wcJ-M-vvDvQO_LungS8rCwqcqDXiUMh6YWIjQhCpSXAtuDDehjoWhqUkFS4JIG8MShWW1go4KEyojhRfEHpCWza1-SIAyJgLZCbkyiuqOEDQWyug4kdK5WBF55EUzr5ms-c6x7MY0q3APYxmObVaPrUeeL6XPFzwfv5HbRBPJcPk7bdItRpl1kWEIeXNij2zVU_k3LY1dZc10Zwj9XDzrdkmPPFt-xgYwD87qvFzIRIgpOx6JV-xx2R7yha9-sZNxxRueuCELUuqR7aXl_vEvH_2r4GNyE18XJ1ObpFVclPqJi9UK8bRekz8AE0Y6QA priority: 102 providerName: Unpaywall |
| Title | Dust Removal from 3D Point Cloud Data in Mine Plane Areas Based on Orthogonal Total Least Squares Fitting and GA-TELM |
| URI | https://dx.doi.org/10.1155/2021/9927982 https://www.proquest.com/docview/2576545051 https://www.proquest.com/docview/2576650570 https://pubmed.ncbi.nlm.nih.gov/PMC8455194 https://downloads.hindawi.com/journals/cin/2021/9927982.pdf |
| UnpaywallVersion | publishedVersion |
| Volume | 2021 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVAFT databaseName: Open Access Digital Library customDbUrl: eissn: 1687-5273 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0057502 issn: 1687-5273 databaseCode: KQ8 dateStart: 20070625 isFulltext: true titleUrlDefault: http://grweb.coalliance.org/oadl/oadl.html providerName: Colorado Alliance of Research Libraries – providerCode: PRVAFT databaseName: Open Access Digital Library customDbUrl: eissn: 1687-5273 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0057502 issn: 1687-5273 databaseCode: KQ8 dateStart: 20070101 isFulltext: true titleUrlDefault: http://grweb.coalliance.org/oadl/oadl.html providerName: Colorado Alliance of Research Libraries – providerCode: PRVEBS databaseName: EBSCOhost Academic Search Ultimate customDbUrl: https://search.ebscohost.com/login.aspx?authtype=ip,shib&custid=s3936755&profile=ehost&defaultdb=asn eissn: 1687-5273 dateEnd: 20230628 omitProxy: true ssIdentifier: ssj0057502 issn: 1687-5273 databaseCode: ABDBF dateStart: 20070101 isFulltext: true titleUrlDefault: https://search.ebscohost.com/direct.asp?db=asn providerName: EBSCOhost – providerCode: PRVBFR databaseName: Free Medical Journals - Free Access to All customDbUrl: eissn: 1687-5273 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0057502 issn: 1687-5273 databaseCode: DIK dateStart: 20070101 isFulltext: true titleUrlDefault: http://www.freemedicaljournals.com providerName: Flying Publisher – providerCode: PRVFQY databaseName: GFMER Free Medical Journals customDbUrl: eissn: 1687-5273 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0057502 issn: 1687-5273 databaseCode: GX1 dateStart: 20070101 isFulltext: true titleUrlDefault: http://www.gfmer.ch/Medical_journals/Free_medical.php providerName: Geneva Foundation for Medical Education and Research – providerCode: PRVAQN databaseName: PubMed Central customDbUrl: eissn: 1687-5273 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0057502 issn: 1687-5273 databaseCode: RPM dateStart: 20070101 isFulltext: true titleUrlDefault: https://www.ncbi.nlm.nih.gov/pmc/ providerName: National Library of Medicine – providerCode: PRVPQU databaseName: Health & Medical Collection customDbUrl: eissn: 1687-5273 dateEnd: 20250131 omitProxy: true ssIdentifier: ssj0057502 issn: 1687-5273 databaseCode: 7X7 dateStart: 20080101 isFulltext: true titleUrlDefault: https://search.proquest.com/healthcomplete providerName: ProQuest – providerCode: PRVPQU databaseName: Middle East & Africa Database customDbUrl: eissn: 1687-5273 dateEnd: 20250131 omitProxy: false ssIdentifier: ssj0057502 issn: 1687-5273 databaseCode: CWDGH dateStart: 20080101 isFulltext: true titleUrlDefault: https://search.proquest.com/middleeastafrica providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: http://www.proquest.com/pqcentral?accountid=15518 eissn: 1687-5273 dateEnd: 20250131 omitProxy: true ssIdentifier: ssj0057502 issn: 1687-5273 databaseCode: BENPR dateStart: 20080101 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Technology Collection customDbUrl: eissn: 1687-5273 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0057502 issn: 1687-5273 databaseCode: 8FG dateStart: 20080101 isFulltext: true titleUrlDefault: https://search.proquest.com/technologycollection1 providerName: ProQuest – providerCode: PRVFZP databaseName: Scholars Portal Journals: Open Access customDbUrl: eissn: 1687-5273 dateEnd: 20250430 omitProxy: true ssIdentifier: ssj0057502 issn: 1687-5273 databaseCode: M48 dateStart: 20070101 isFulltext: true titleUrlDefault: http://journals.scholarsportal.info providerName: Scholars Portal – providerCode: PRVWIB databaseName: Wiley Online Library Open Access customDbUrl: eissn: 1687-5273 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0057502 issn: 1687-5273 databaseCode: 24P dateStart: 20070101 isFulltext: true titleUrlDefault: https://authorservices.wiley.com/open-science/open-access/browse-journals.html providerName: Wiley-Blackwell |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3db9MwELfGJgQvEzAQYaMy0tgLCjSLnY8HhLr1S2gtVWml8hTZsU0rdc7WJhr977lL04pOfL1YsuzYie_Od-ec70fIaRwZX3jMuKDdtMuic-NGqQIvhXGpwyA1sgyi6fWD7ph9nvDJHtmgjVYLuPyta4d4UuPF_P2P29UnEPiPpcBzjv679yGOz8M4gs34AHRUjCAOPbb9nwA2yTr6MACRwoTwmxD4e0_vKKdqi344Ref4brZjgt4PoHxU2BuxuhPz-S_aqf2EHFZmJW2s-eAp2dP2GTlqWHCpr1f0jJaBnuUJ-hEpmsUyp0N9nQGXUbxfQv0mHWQzm9PLeVYo2hS5oDNLe2CCUoQ10jCyFkt6ATpP0czSL4t8mn1HK56OMlg6eoUYQPTrbYH3mWh7VoZTU2EV7TTcUeuq95yM263RZdet0BfclHE_d5mKPRHEXHgmlNI3vgqU0FIYI4yvQ2lYbGLJIy_QxvBIIQKWV1d-xNJA4V2uF2TfZla_JJRxLr207gtlFNN1KVkoldFhlKagDWXgkHebZU_SKjU5ImTMk9JF4TxBIiUVkRzydtv7Zp2S4w_9TpCCCfIOjJaC3KRJA5MBYYqb0CGnFWX_NcqG7MmGOxP00sD0hA3NIW-2zTgBhqxZnRXrPgG6f3WHhDvssp0PU3vvttjZtEzxHcGSeTFzyNmWsf76lq_-72OOyWOsro-QTsh-vij0azCqclkjD8JJCGXU7tTIwUWrPxhCrTPxaqUkQTnsTqBl3B80vv0Ehi0g8A |
| linkProvider | Scholars Portal |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V3LbhMxFLVKKlRY8GhBBAoYqe0GTZuZseexYBGSpilNCoJU7W7wk0SkM2kzoyh8FL_CL-E7j9BUoqy6YG2PbXnu0z4-F6GtMNAus4m2jHdTFgkcbQVCmiyFUK58T2ieg2j6x173hHw4o2cr6Gf1FgZglZVNzA21TAScke9BYGy8vZGhEkF5pOYzk59N3x22zc_cdpzO_qDVtcoSApYg1E0tIkObeSFltvY5d7UrPckUZ1oz7SqfaxLqkNPA9pTWNJBQxsluSDcgwpPwIMmMuzO5sKBKFdzmliU77qBVI-e2U0OrrdP2Qbey_Sb2KVCOnlFdIJ6voPaUwimDvReGjh8GzpITLF3B3SEk4bPRUqh7Hai5lsUTNp-x8fiKF-w8RL-q_SvAL993s5Tvih_XqCX_nw1-hB6UATluFhr0GK2oeB1tNGOWJudzvINziGx-97CO7l9hb9xAWTubpvizOk-MtmJ4p4PdNv6UjOIUt8ZJJnGbpQyPYtw3H2EoD6XMPIpN8XsTO0icxPjjZTpMvkE2hAeJyYNwD2op4S8XGbwLw51RDkvHLJb4oGkN9nv9J-jkVnboKarFSayeIUwo5bZouExqSVSDc-JzqZUfCGGiCu7V0dtKrCJRUrxDpZFxlKd6lEYghFEphHW0veg9KahN_tJvEyQ0AotnRhPG_oioCaRKQBXk19FWKbn_GqUSu6g0k9Poj8zV0ZtFM0wA0L9YJVnRx4M0ulFH_pI6LOYDivTllng0zKnSA7NldkjqaGehODeu8vnNq3yN1rqDfi_qHR4fvUD34MviOG4T1dLLTL00AWrKX5VWAaOvt606vwHlIp70 |
| linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V3JbhMxGLZKK7YDSwsiUMBIbS9omkzGnuWAUMg0bWlSqpKK3gavJCKdSZsZReHReBVeBv-zhKYS5dQDZ3tsy_Ov9ufvR2gj8LXDbKIt492URfymtnwhTZZCKFeeKzTPQTS9Q3fvhHw8padL6Gf1FgZglZVNzA21TASckdchMDbe3shQXZewiKOw8358bkEFKbhprcppFCJyoGZTk75N3u2H5l9vNpudnX57zyorDFiCUCe1iAxs5gaU2drj3NGOdCVTnGnNtKM8rkmgA05921VaU19ClSe7IR2fCFfCeyUz7i204ruea4zCSvtLuLtX-QETBxWIR9eoMZDQV7B7SuHEwa4HQdML_OaCQyzdwu0BJOTT4ULYexW0eTeLx2w2ZaPRJY_YeYh-VXtZAGG-b2cp3xY_rtBM_p-b_Qg9KAN13Co06zFaUvEqWmvFLE3OZngL59DZ_E5iFd2_xOq4hrIwm6T4WJ0lRosxvN_BToiPkmGc4vYoySQOWcrwMMY98xGGslHKzKPYBH8wMYXESYw_XaSD5BtkSbifmPwId6HGEv58nsF7MdwZ5nB1zGKJd1tWf6fbe4JObmQ7nqLlOInVM4QJpdwWDYdJLYlqcE48LrXyfCFMtMHdGnpbiVgkSup3qEAyivIUkNIIBDIqBbKGNue9xwXlyV_6rYO0RmAJzWjC2CURtYBsCSiEvBraKKX4X6NUIhiV5nMS_ZG_Gnozb4YJABIYqyQr-riQXjdqyFtQjfl8QJ2-2BIPBzmFum-2zA5IDW3NlejaVT6_fpWv0R2jH1F3__DgBboHHxandOtoOb3I1EsTt6b8VWkgMPp602ryG42pp7w |
| linkToUnpaywall | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3bbtNAEF2VVAheuBWEoaBBKn1BTuN61xfxFJqGCjWlgkQqUiVrryQiXZfGVlSe-AS-kS9hx7EDqcRFvNnyaNa7O7szZzV7hpCtNDEhD6jxnXfTPk12jZ9I5VAKZULHkTSiSqIZHEUHI_rmhJ2skZfNXRiFFPE5V7P2GDHpfFLt1vW4znakQ4sOrgc7abobp4kDhcpcI-sRc4F4i6yPjo67HxBiRW7pIPH7z-c4bNLeGVtRseKQ6m35et34Sth5NWnyRmnP-eWcT6e_eKT-bXLa9GWRiPKpXRaiLb9coXn8z87eIbfqSBW6C9O6S9a0vUc2utah9LNL2IYqd7Q6lN8g8145K-CdPsud4QJeWYGwB8f5xBawN81LBT1ecJhYGLioFrBSknaaNZ_BK-dGFeQW3l4U4_wjAgMY5g4SwCGWFYL3n0u8IgX9SZWhDdwqeN39_vXbcP9wcJ-M-vvDvQO_LungS8rCwqcqDXiUMh6YWIjQhCpSXAtuDDehjoWhqUkFS4JIG8MShWW1go4KEyojhRfEHpCWza1-SIAyJgLZCbkyiuqOEDQWyug4kdK5WBF55EUzr5ms-c6x7MY0q3APYxmObVaPrUeeL6XPFzwfv5HbRBPJcPk7bdItRpl1kWEIeXNij2zVU_k3LY1dZc10Zwj9XDzrdkmPPFt-xgYwD87qvFzIRIgpOx6JV-xx2R7yha9-sZNxxRueuCELUuqR7aXl_vEvH_2r4GNyE18XJ1ObpFVclPqJi9UK8bRekz8AE0Y6QA |
| 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=Dust+Removal+from+3D+Point+Cloud+Data+in+Mine+Plane+Areas+Based+on+Orthogonal+Total+Least+Squares+Fitting+and+GA-TELM&rft.jtitle=Computational+intelligence+and+neuroscience&rft.au=Wang%2C+Jingli&rft.au=Zhang%2C+Huiyuan&rft.au=Gao%2C+Jingxiang&rft.au=Xiao%2C+Dong&rft.date=2021&rft.pub=Hindawi&rft.issn=1687-5265&rft.eissn=1687-5273&rft.volume=2021&rft_id=info:doi/10.1155%2F2021%2F9927982&rft.externalDocID=10_1155_2021_9927982 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1687-5265&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1687-5265&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1687-5265&client=summon |