{"id":"https://openalex.org/W4207046160","doi":"https://doi.org/10.1109/tgrs.2022.3145474","title":"A Weakly Supervised Graph Deep Learning Framework for Point Cloud Registration","display_name":"A Weakly Supervised Graph Deep Learning Framework for Point Cloud Registration","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4207046160","doi":"https://doi.org/10.1109/tgrs.2022.3145474"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2022.3145474","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3145474","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101534247","display_name":"Lan Sun","orcid":"https://orcid.org/0000-0002-9527-7680"},"institutions":[{"id":"https://openalex.org/I4210114963","display_name":"Chinese Academy of Surveying and Mapping","ror":"https://ror.org/02j693n47","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114963"]},{"id":"https://openalex.org/I4401726822","display_name":"Ping An (China)","ror":"https://ror.org/004yv2z91","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726822"]},{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lan Sun","raw_affiliation_strings":["Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing, China","Chinese Academy of Surveying and Mapping, Beijing, China","College of Resource Environment and Tourism, Capital Normal University, Beijing, China","Key Laboratory of 3D Information Acquisition and Application, MOE, Capital Normal University, Beijing, China","Ping An Health Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"Chinese Academy of Surveying and Mapping, Beijing, China","institution_ids":["https://openalex.org/I4210114963"]},{"raw_affiliation_string":"College of Resource Environment and Tourism, Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"Key Laboratory of 3D Information Acquisition and Application, MOE, Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"Ping An Health Technology, Beijing, China","institution_ids":["https://openalex.org/I4401726822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101584424","display_name":"Zhenxin Zhang","orcid":"https://orcid.org/0000-0002-4070-9415"},"institutions":[{"id":"https://openalex.org/I4210114963","display_name":"Chinese Academy of Surveying and Mapping","ror":"https://ror.org/02j693n47","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114963"]},{"id":"https://openalex.org/I4401726822","display_name":"Ping An (China)","ror":"https://ror.org/004yv2z91","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726822"]},{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenxin Zhang","raw_affiliation_strings":["Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing, China","Chinese Academy of Surveying and Mapping, Beijing, China","College of Resource Environment and Tourism, Capital Normal University, Beijing, China","Key Laboratory of 3D Information Acquisition and Application, MOE, Capital Normal University, Beijing, China","Ping An Health Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4070-9415","affiliations":[{"raw_affiliation_string":"Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"Chinese Academy of Surveying and Mapping, Beijing, China","institution_ids":["https://openalex.org/I4210114963"]},{"raw_affiliation_string":"College of Resource Environment and Tourism, Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"Key Laboratory of 3D Information Acquisition and Application, MOE, Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"Ping An Health Technology, Beijing, China","institution_ids":["https://openalex.org/I4401726822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039088967","display_name":"Ruofei Zhong","orcid":"https://orcid.org/0000-0002-6064-4479"},"institutions":[{"id":"https://openalex.org/I4210114963","display_name":"Chinese Academy of Surveying and Mapping","ror":"https://ror.org/02j693n47","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114963"]},{"id":"https://openalex.org/I4401726822","display_name":"Ping An (China)","ror":"https://ror.org/004yv2z91","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726822"]},{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruofei Zhong","raw_affiliation_strings":["Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing, China","Chinese Academy of Surveying and Mapping, Beijing, China","College of Resource Environment and Tourism, Capital Normal University, Beijing, China","Key Laboratory of 3D Information Acquisition and Application, MOE, Capital Normal University, Beijing, China","Ping An Health Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"Chinese Academy of Surveying and Mapping, Beijing, China","institution_ids":["https://openalex.org/I4210114963"]},{"raw_affiliation_string":"College of Resource Environment and Tourism, Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"Key Laboratory of 3D Information Acquisition and Application, MOE, Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"Ping An Health Technology, Beijing, China","institution_ids":["https://openalex.org/I4401726822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013116360","display_name":"Dong Chen","orcid":"https://orcid.org/0000-0001-8118-3889"},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Chen","raw_affiliation_strings":["College of Civil Engineering, Nanjing Forestry University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-8118-3889","affiliations":[{"raw_affiliation_string":"College of Civil Engineering, Nanjing Forestry University, Nanjing, China","institution_ids":["https://openalex.org/I167027274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100459445","display_name":"Liqiang Zhang","orcid":"https://orcid.org/0000-0002-4175-7590"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liqiang Zhang","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4175-7590","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100664611","display_name":"Lin Zhu","orcid":"https://orcid.org/0000-0003-2725-6666"},"institutions":[{"id":"https://openalex.org/I4210114963","display_name":"Chinese Academy of Surveying and Mapping","ror":"https://ror.org/02j693n47","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114963"]},{"id":"https://openalex.org/I4401726822","display_name":"Ping An (China)","ror":"https://ror.org/004yv2z91","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726822"]},{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Zhu","raw_affiliation_strings":["Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing, China","Chinese Academy of Surveying and Mapping, Beijing, China","College of Resource Environment and Tourism, Capital Normal University, Beijing, China","Key Laboratory of 3D Information Acquisition and Application, MOE, Capital Normal University, Beijing, China","Ping An Health Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"Chinese Academy of Surveying and Mapping, Beijing, China","institution_ids":["https://openalex.org/I4210114963"]},{"raw_affiliation_string":"College of Resource Environment and Tourism, Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"Key Laboratory of 3D Information Acquisition and Application, MOE, Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"Ping An Health Technology, Beijing, China","institution_ids":["https://openalex.org/I4401726822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069802156","display_name":"Qiang Wang","orcid":"https://orcid.org/0000-0002-9450-2030"},"institutions":[{"id":"https://openalex.org/I15062923","display_name":"Tianjin Normal University","ror":"https://ror.org/05x2td559","country_code":"CN","type":"education","lineage":["https://openalex.org/I15062923"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Wang","raw_affiliation_strings":["School of Geographic and Environment Science, Tianjin Normal University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-9450-2030","affiliations":[{"raw_affiliation_string":"School of Geographic and Environment Science, Tianjin Normal University, Tianjin, China","institution_ids":["https://openalex.org/I15062923"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101269079","display_name":"Guo Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210094772","display_name":"Henan University of Engineering","ror":"https://ror.org/007wym039","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210094772"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guo Wang","raw_affiliation_strings":["Institute of Civil Engineering, Henan University of Engineering, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Civil Engineering, Henan University of Engineering, Zhengzhou, China","institution_ids":["https://openalex.org/I4210094772"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013718591","display_name":"Jianjun Zou","orcid":"https://orcid.org/0000-0003-0886-3153"},"institutions":[{"id":"https://openalex.org/I4210114963","display_name":"Chinese Academy of Surveying and Mapping","ror":"https://ror.org/02j693n47","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114963"]},{"id":"https://openalex.org/I4401726822","display_name":"Ping An (China)","ror":"https://ror.org/004yv2z91","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726822"]},{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianjun Zou","raw_affiliation_strings":["Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing, China","Chinese Academy of Surveying and Mapping, Beijing, China","College of Resource Environment and Tourism, Capital Normal University, Beijing, China","Key Laboratory of 3D Information Acquisition and Application, MOE, Capital Normal University, Beijing, China","Ping An Health Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"Chinese Academy of Surveying and Mapping, Beijing, China","institution_ids":["https://openalex.org/I4210114963"]},{"raw_affiliation_string":"College of Resource Environment and Tourism, Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"Key Laboratory of 3D Information Acquisition and Application, MOE, Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"Ping An Health Technology, Beijing, China","institution_ids":["https://openalex.org/I4401726822"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103466061","display_name":"Yu Wang","orcid":"https://orcid.org/0009-0007-5309-4206"},"institutions":[{"id":"https://openalex.org/I4210114963","display_name":"Chinese Academy of Surveying and Mapping","ror":"https://ror.org/02j693n47","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114963"]},{"id":"https://openalex.org/I4401726822","display_name":"Ping An (China)","ror":"https://ror.org/004yv2z91","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726822"]},{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Wang","raw_affiliation_strings":["Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing, China","Chinese Academy of Surveying and Mapping, Beijing, China","College of Resource Environment and Tourism, Capital Normal University, Beijing, China","Key Laboratory of 3D Information Acquisition and Application, MOE, Capital Normal University, Beijing, China","Ping An Health Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"Chinese Academy of Surveying and Mapping, Beijing, China","institution_ids":["https://openalex.org/I4210114963"]},{"raw_affiliation_string":"College of Resource Environment and Tourism, Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"Key Laboratory of 3D Information Acquisition and Application, MOE, Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"Ping An Health Technology, Beijing, China","institution_ids":["https://openalex.org/I4401726822"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.3278,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.91851441,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.8737753629684448},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7785993218421936},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7128186225891113},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6130302548408508},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6070183515548706},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5711755156517029},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5180704593658447},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.5115011930465698},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5003507137298584},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48842233419418335},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4663360118865967},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.452256441116333},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.42024803161621094},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41538071632385254},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.24897044897079468},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.10349789261817932}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8737753629684448},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7785993218421936},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7128186225891113},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6130302548408508},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6070183515548706},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5711755156517029},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5180704593658447},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.5115011930465698},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5003507137298584},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48842233419418335},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4663360118865967},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.452256441116333},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.42024803161621094},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41538071632385254},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.24897044897079468},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.10349789261817932},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2022.3145474","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3145474","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2765049426","display_name":null,"funder_award_id":"41925006","funder_id":"https://openalex.org/F4320336125","funder_display_name":"National Science Fund for Distinguished Young Scholars"},{"id":"https://openalex.org/G3764856887","display_name":null,"funder_award_id":"2019M650779","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G4813990130","display_name":null,"funder_award_id":"41971415","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8240002457","display_name":null,"funder_award_id":"8212023","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G8508385224","display_name":null,"funder_award_id":"OFSLRSS202118","funder_id":"https://openalex.org/F4320335627","funder_display_name":"State Key Laboratory on Integrated Optoelectronics"},{"id":"https://openalex.org/G8836907405","display_name":"\u7ed3\u5408\u6ce8\u610f\u529b\u673a\u5236\u4e0e\u56fe\u5377\u79ef\u7f51\u7edc\u7684\u57ce\u5e02\u673a\u8f7d\u6fc0\u5149\u96f7\u8fbe\u70b9\u4e91\u591a\u5c42\u6b21\u5206\u7c7b\u6846\u67b6\u7814\u7a76","funder_award_id":"42071445","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null},{"id":"https://openalex.org/F4320335627","display_name":"State Key Laboratory on Integrated Optoelectronics","ror":"https://ror.org/00g102351"},{"id":"https://openalex.org/F4320336125","display_name":"National Science Fund for Distinguished Young Scholars","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W1599434464","https://openalex.org/W1920022804","https://openalex.org/W1966790179","https://openalex.org/W1996299496","https://openalex.org/W2034950486","https://openalex.org/W2045975141","https://openalex.org/W2049981393","https://openalex.org/W2052794186","https://openalex.org/W2064499898","https://openalex.org/W2069479606","https://openalex.org/W2090146153","https://openalex.org/W2098764590","https://openalex.org/W2132761823","https://openalex.org/W2152864241","https://openalex.org/W2156163156","https://openalex.org/W2157331557","https://openalex.org/W2160821342","https://openalex.org/W2341115255","https://openalex.org/W2344109021","https://openalex.org/W2481240925","https://openalex.org/W2519911873","https://openalex.org/W2555254696","https://openalex.org/W2560609797","https://openalex.org/W2566265240","https://openalex.org/W2746791238","https://openalex.org/W2755992512","https://openalex.org/W2883357174","https://openalex.org/W2898223598","https://openalex.org/W2932399282","https://openalex.org/W2942888601","https://openalex.org/W2951105272","https://openalex.org/W2955307761","https://openalex.org/W2955873422","https://openalex.org/W2962941647","https://openalex.org/W2963076818","https://openalex.org/W2963264709","https://openalex.org/W2963281829","https://openalex.org/W2963830382","https://openalex.org/W2979750740","https://openalex.org/W3015072278","https://openalex.org/W3035272603","https://openalex.org/W3035490780","https://openalex.org/W3047443805","https://openalex.org/W3048631361","https://openalex.org/W3102692100","https://openalex.org/W3103695279","https://openalex.org/W3196686803","https://openalex.org/W4246084825","https://openalex.org/W4246219036","https://openalex.org/W6684191040","https://openalex.org/W6685350579","https://openalex.org/W6690815549","https://openalex.org/W6720006811","https://openalex.org/W6726873649","https://openalex.org/W6738964360","https://openalex.org/W6739778489","https://openalex.org/W6745537798","https://openalex.org/W6757374366","https://openalex.org/W6767284090"],"related_works":["https://openalex.org/W3016928466","https://openalex.org/W4293226380","https://openalex.org/W4389574804","https://openalex.org/W2936725271","https://openalex.org/W3150655618","https://openalex.org/W2295788148","https://openalex.org/W1578717197","https://openalex.org/W3192962470","https://openalex.org/W3135897568","https://openalex.org/W1498463755"],"abstract_inverted_index":{"The":[0,142],"point":[1,58,77,164,178,212],"cloud":[2,59,78,179,213],"registration":[3,79,214],"is":[4,20,104,145],"important":[5],"and":[6,16,30,36,70,90,111,137,152,160,175],"necessary":[7],"for":[8,76],"the":[9,25,40,65,71,87,96,102,109,112,115,122,149,158,163,167,171,177,183,203,222,225],"applications":[10],"of":[11,33,39,57,98,118,162,170,195,199,211,224],"changing":[12],"detection,":[13],"deformation":[14],"monitoring,":[15],"so":[17,85],"on,":[18],"which":[19,61,132,191,220],"also":[21],"challenging":[22],"due":[23],"to":[24,106,155,181],"vast":[26],"clustered":[27],"points,":[28],"irregular,":[29],"complex":[31],"structures":[32],"spatial":[34],"objects,":[35],"quality":[37],"effects":[38],"labeled":[41],"corresponding":[42,200],"points.":[43,201],"Aiming":[44],"at":[45],"this":[46],"problem,":[47],"we":[48,124,173],"design":[49],"an":[50],"end-to-end":[51],"3-D":[52],"graph":[53,138],"deep":[54,74,116],"learning":[55],"framework":[56],"registration,":[60],"can":[62,192,207],"simultaneously":[63],"learn":[64],"detector":[66,89,103,150,159],"(graph":[67,73],"attention":[68],"expression)":[69],"descriptor":[72,91,113,153,161],"feature)":[75],"in":[80,95,186,215],"a":[81,127,187],"weakly":[82,188],"supervised":[83,189],"way,":[84,190],"that":[86],"learned":[88],"promote":[92],"each":[93,119],"other":[94,218],"process":[97,169],"model":[99],"optimization.":[100],"Then,":[101],"used":[105],"automatically":[107],"extract":[108],"keypoints,":[110],"describes":[114],"feature":[117],"keypoint.":[120],"In":[121,166,202],"framework,":[123,172],"innovatively":[125],"propose":[126],"new":[128],"module":[129,144],"(named":[130],"MLP_GCN),":[131],"fuses":[133],"multilayer":[134],"perceptron":[135],"(MLP)":[136],"convolutional":[139],"network":[140],"(GCN).":[141],"MLP_GCN":[143],"further":[146],"integrated":[147],"into":[148],"branch":[151,154],"fully":[156],"express":[157],"cloud.":[165],"training":[168,184],"rotate":[174],"translate":[176],"randomly":[180],"form":[182],"data":[185],"save":[193],"plenty":[194],"manually":[196],"labeling":[197],"time":[198],"experiments,":[204],"our":[205],"method":[206],"achieve":[208],"better":[209],"results":[210],"comparison":[216],"with":[217],"methods,":[219],"verifies":[221],"advantages":[223],"proposed":[226],"method.":[227]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
