{"id":"https://openalex.org/W4407949307","doi":"https://doi.org/10.1109/tgrs.2025.3545783","title":"Masking Graph Cross-Convolution Network for Multispectral Point Cloud Classification","display_name":"Masking Graph Cross-Convolution Network for Multispectral Point Cloud Classification","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4407949307","doi":"https://doi.org/10.1109/tgrs.2025.3545783"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3545783","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3545783","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/A5039540933","display_name":"Qingwang Wang","orcid":"https://orcid.org/0000-0001-5820-5357"},"institutions":[{"id":"https://openalex.org/I146071755","display_name":"Kunming University","ror":"https://ror.org/035rhx828","country_code":"CN","type":"education","lineage":["https://openalex.org/I146071755"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingwang Wang","raw_affiliation_strings":["Faculty of Information Engineering and Automation, Kunming, China"],"raw_orcid":"https://orcid.org/0000-0001-5820-5357","affiliations":[{"raw_affiliation_string":"Faculty of Information Engineering and Automation, Kunming, China","institution_ids":["https://openalex.org/I146071755"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101456908","display_name":"Xueqian Chen","orcid":"https://orcid.org/0009-0000-3526-6667"},"institutions":[{"id":"https://openalex.org/I146071755","display_name":"Kunming University","ror":"https://ror.org/035rhx828","country_code":"CN","type":"education","lineage":["https://openalex.org/I146071755"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueqian Chen","raw_affiliation_strings":["Faculty of Information Engineering and Automation, Kunming, China"],"raw_orcid":"https://orcid.org/0009-0000-3526-6667","affiliations":[{"raw_affiliation_string":"Faculty of Information Engineering and Automation, Kunming, China","institution_ids":["https://openalex.org/I146071755"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101499426","display_name":"Zifeng Zhang","orcid":"https://orcid.org/0009-0003-7312-0492"},"institutions":[{"id":"https://openalex.org/I146071755","display_name":"Kunming University","ror":"https://ror.org/035rhx828","country_code":"CN","type":"education","lineage":["https://openalex.org/I146071755"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zifeng Zhang","raw_affiliation_strings":["Faculty of Information Engineering and Automation, Kunming, China"],"raw_orcid":"https://orcid.org/0009-0003-7312-0492","affiliations":[{"raw_affiliation_string":"Faculty of Information Engineering and Automation, Kunming, China","institution_ids":["https://openalex.org/I146071755"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027377985","display_name":"Yuanqin Meng","orcid":"https://orcid.org/0009-0007-3920-814X"},"institutions":[{"id":"https://openalex.org/I146071755","display_name":"Kunming University","ror":"https://ror.org/035rhx828","country_code":"CN","type":"education","lineage":["https://openalex.org/I146071755"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanqin Meng","raw_affiliation_strings":["Faculty of Information Engineering and Automation, Kunming, China"],"raw_orcid":"https://orcid.org/0009-0007-3920-814X","affiliations":[{"raw_affiliation_string":"Faculty of Information Engineering and Automation, Kunming, China","institution_ids":["https://openalex.org/I146071755"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003333516","display_name":"Tao Shen","orcid":"https://orcid.org/0000-0003-1273-7950"},"institutions":[{"id":"https://openalex.org/I146071755","display_name":"Kunming University","ror":"https://ror.org/035rhx828","country_code":"CN","type":"education","lineage":["https://openalex.org/I146071755"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Shen","raw_affiliation_strings":["Faculty of Information Engineering and Automation, Kunming, China"],"raw_orcid":"https://orcid.org/0000-0003-1273-7950","affiliations":[{"raw_affiliation_string":"Faculty of Information Engineering and Automation, Kunming, China","institution_ids":["https://openalex.org/I146071755"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034748006","display_name":"Yanfeng Gu","orcid":"https://orcid.org/0000-0003-1625-7989"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanfeng Gu","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0003-1625-7989","affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.9535,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.88224218,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9664999842643738,"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"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9664999842643738,"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":0.9501000046730042,"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/computer-science","display_name":"Computer science","score":0.7229516506195068},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6334171295166016},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.5970302820205688},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.550508975982666},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5188770890235901},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5113391280174255},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5036603808403015},{"id":"https://openalex.org/keywords/masking","display_name":"Masking (illustration)","score":0.4669512212276459},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4341007173061371},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35150691866874695},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.18554869294166565},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1493600606918335},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1213066577911377}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7229516506195068},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6334171295166016},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.5970302820205688},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.550508975982666},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5188770890235901},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5113391280174255},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5036603808403015},{"id":"https://openalex.org/C2777402240","wikidata":"https://www.wikidata.org/wiki/Q6783436","display_name":"Masking (illustration)","level":2,"score":0.4669512212276459},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4341007173061371},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35150691866874695},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.18554869294166565},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1493600606918335},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1213066577911377},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3545783","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3545783","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":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G2555961084","display_name":null,"funder_award_id":"202302AG050009","funder_id":"https://openalex.org/F4320336602","funder_display_name":"Major Science and Technology Projects in Yunnan Province"},{"id":"https://openalex.org/G3945855057","display_name":null,"funder_award_id":"62201237","funder_id":"https://openalex.org/F4320335581","funder_display_name":"Young Scientists Fund"},{"id":"https://openalex.org/G4876672698","display_name":null,"funder_award_id":"202301AV070003","funder_id":"https://openalex.org/F4320330387","funder_display_name":"Foundation for Fundamental Research of China"},{"id":"https://openalex.org/G5477048013","display_name":null,"funder_award_id":"202401AW070019","funder_id":"https://openalex.org/F4320330387","funder_display_name":"Foundation for Fundamental Research of China"},{"id":"https://openalex.org/G6819079864","display_name":null,"funder_award_id":"202101BE070001-008","funder_id":"https://openalex.org/F4320330387","funder_display_name":"Foundation for Fundamental Research of China"},{"id":"https://openalex.org/G705287850","display_name":null,"funder_award_id":"62201237","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/F4320330387","display_name":"Foundation for Fundamental Research of China","ror":null},{"id":"https://openalex.org/F4320335581","display_name":"Young Scientists Fund","ror":null},{"id":"https://openalex.org/F4320336602","display_name":"Major Science and Technology Projects in Yunnan Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1916388061","https://openalex.org/W1977271893","https://openalex.org/W2069231830","https://openalex.org/W2084468773","https://openalex.org/W2608675201","https://openalex.org/W2724542434","https://openalex.org/W2913109850","https://openalex.org/W2922416509","https://openalex.org/W2963150697","https://openalex.org/W2970007912","https://openalex.org/W2976058877","https://openalex.org/W2981199548","https://openalex.org/W2985331920","https://openalex.org/W3037788579","https://openalex.org/W3039430370","https://openalex.org/W3041331580","https://openalex.org/W3090082674","https://openalex.org/W3174562789","https://openalex.org/W3199395078","https://openalex.org/W3205684057","https://openalex.org/W3215645447","https://openalex.org/W4206184407","https://openalex.org/W4214755140","https://openalex.org/W4220788280","https://openalex.org/W4221143972","https://openalex.org/W4281785683","https://openalex.org/W4313473105","https://openalex.org/W4323897048","https://openalex.org/W4366493021","https://openalex.org/W4378191150","https://openalex.org/W4379984978","https://openalex.org/W4383109105","https://openalex.org/W4386563806","https://openalex.org/W4388543795","https://openalex.org/W4388878453","https://openalex.org/W4391450838","https://openalex.org/W4392061590","https://openalex.org/W4400351828","https://openalex.org/W4400677489","https://openalex.org/W4402667891","https://openalex.org/W4403863621","https://openalex.org/W4404367176","https://openalex.org/W4405199729","https://openalex.org/W6739778489","https://openalex.org/W6755207826","https://openalex.org/W6763422710","https://openalex.org/W6763701032","https://openalex.org/W6779961489"],"related_works":["https://openalex.org/W4318664220","https://openalex.org/W2771047279","https://openalex.org/W4388409104","https://openalex.org/W2124951708","https://openalex.org/W1544811710","https://openalex.org/W172072032","https://openalex.org/W2006066416","https://openalex.org/W3157073418","https://openalex.org/W2021642829","https://openalex.org/W2058127401"],"abstract_inverted_index":{"Achieving":[0],"accurate":[1],"3-D":[2,21],"environment":[3],"perception":[4],"is":[5,127,151],"a":[6,26,83,113],"key":[7],"task":[8],"in":[9,166,194],"the":[10,38,44,55,71,122,132,137,149,163,167,171,175,181],"field":[11],"of":[12,40,46,104,136,162,174],"remote":[13],"sensing.":[14],"Multispectral":[15],"point":[16,75,188],"cloud":[17,76,189],"has":[18,69],"rich":[19],"integrated":[20],"spatial\u2013spectral":[22,114],"information,":[23,67],"which":[24,68,89],"provides":[25],"data":[27],"basis":[28],"for":[29,73,145],"realizing":[30],"more":[31],"detailed":[32],"scene":[33,168],"understanding":[34],"and":[35,43,60,112,134,158,198],"perception.":[36],"However,":[37],"diversity":[39],"land":[41,147,164],"covers":[42,165],"complexity":[45],"its":[47,192],"features":[48,63,98,144,157,161],"pose":[49],"challenges":[50],"to":[51,64,91,99,129,140,153,169],"classification.":[52,77],"In":[53,78],"addition,":[54],"current":[56],"methods":[57],"mechanically":[58],"pool":[59],"fuse":[61],"local":[62,159],"obtain":[65],"global":[66],"limited":[70],"utility":[72],"multispectral":[74,187],"this":[79],"article,":[80],"we":[81],"propose":[82],"masking":[84,109],"graph":[85],"cross-convolution":[86,115],"network":[87],"(MGC2N),":[88],"aims":[90],"address":[92],"these":[93],"problems":[94],"by":[95],"utilizing":[96],"spectral":[97,160],"construct":[100],"point-to-point":[101],"relationships":[102],"independent":[103],"spatial":[105,155],"distance.":[106],"A":[107],"self-attention":[108],"(SAM)":[110],"module":[111,117],"(S2C2)":[116],"are":[118],"innovatively":[119],"designed":[120],"into":[121],"proposed":[123],"MGC2N.":[124],"The":[125],"former":[126],"used":[128,152],"adaptively":[130],"adjust":[131],"nodes":[133],"edges":[135],"adjacency":[138],"matrix":[139],"dynamically":[141],"extract":[142,154],"effective":[143],"different":[146],"covers;":[148],"latter":[150],"distribution":[156],"enhance":[170],"discriminative":[172],"ability":[173],"learned":[176],"features.":[177],"Our":[178],"method":[179],"achieves":[180],"best-in-class":[182],"performance":[183],"on":[184],"two":[185],"real":[186],"datasets,":[190],"demonstrating":[191],"effectiveness":[193],"improving":[195],"classification":[196],"accuracy":[197],"robustness.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}