{"id":"https://openalex.org/W4404687919","doi":"https://doi.org/10.1109/lgrs.2024.3505416","title":"Multiconstrained Heterogeneous Deep Network for Remote Sensing Rural Building Detection","display_name":"Multiconstrained Heterogeneous Deep Network for Remote Sensing Rural Building Detection","publication_year":2024,"publication_date":"2024-11-25","ids":{"openalex":"https://openalex.org/W4404687919","doi":"https://doi.org/10.1109/lgrs.2024.3505416"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2024.3505416","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2024.3505416","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5084699418","display_name":"Dong Ren","orcid":"https://orcid.org/0000-0002-0422-1017"},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dong Ren","raw_affiliation_strings":["Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, China","institution_ids":["https://openalex.org/I161350542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100432994","display_name":"Dongxu Wang","orcid":"https://orcid.org/0000-0001-8914-7153"},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongxu Wang","raw_affiliation_strings":["Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, China","institution_ids":["https://openalex.org/I161350542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004093770","display_name":"Hang Sun","orcid":"https://orcid.org/0000-0002-3460-9354"},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hang Sun","raw_affiliation_strings":["Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, China","institution_ids":["https://openalex.org/I161350542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103225674","display_name":"Ren Shun","orcid":"https://orcid.org/0009-0005-1967-0527"},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shun Ren","raw_affiliation_strings":["Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, China","institution_ids":["https://openalex.org/I161350542"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100329725","display_name":"Wenbin Wang","orcid":"https://orcid.org/0000-0002-6287-4542"},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbin Wang","raw_affiliation_strings":["Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, China","institution_ids":["https://openalex.org/I161350542"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5084699418"],"corresponding_institution_ids":["https://openalex.org/I161350542"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32625333,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"22","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6000105142593384},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5545345544815063},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.13934192061424255}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6000105142593384},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5545345544815063},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.13934192061424255}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2024.3505416","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2024.3505416","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6299999952316284,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G8990589862","display_name":null,"funder_award_id":"2024AFB992","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"}],"funders":[{"id":"https://openalex.org/F4320322186","display_name":"Natural Science Foundation of Hubei Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W3005718951","https://openalex.org/W3122239467","https://openalex.org/W3138516171","https://openalex.org/W3175613352","https://openalex.org/W3205865791","https://openalex.org/W4221146106","https://openalex.org/W4297733535","https://openalex.org/W4306740440","https://openalex.org/W4311726887","https://openalex.org/W4381415891","https://openalex.org/W4390873076","https://openalex.org/W4394773596","https://openalex.org/W4398188156","https://openalex.org/W4398810114","https://openalex.org/W4400648070","https://openalex.org/W4402754006","https://openalex.org/W4403770406","https://openalex.org/W6620707391","https://openalex.org/W6745537798","https://openalex.org/W6776700526","https://openalex.org/W6784094891","https://openalex.org/W6809665764","https://openalex.org/W6847876731","https://openalex.org/W6848935878","https://openalex.org/W6868582632"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Remote":[0],"sensing":[1,74],"rural":[2,17,75],"building":[3,76],"detection":[4,123,148],"holds":[5],"substantial":[6],"practical":[7],"value":[8],"for":[9,72,102],"the":[10,31,89,94,122,130],"scientific":[11],"management":[12],"and":[13,33,39,58,152],"unified":[14],"planning":[15],"of":[16,55,132],"land.":[18],"However,":[19],"most":[20],"existing":[21],"methods":[22],"struggle":[23],"to":[24,30,97,117],"achieve":[25],"desirable":[26],"feature":[27,100,105],"representations":[28],"due":[29],"similarities":[32],"imbalances":[34],"between":[35],"underconstruction":[36],"buildings":[37,41],"(UBs)":[38],"completed":[40],"(CBs),":[42],"as":[43,45],"well":[44],"interference":[46],"from":[47],"background":[48],"noise,":[49],"which":[50,125],"results":[51,136],"in":[52,129],"high":[53],"rates":[54],"false":[56,59],"positives":[57],"negatives.":[60],"To":[61],"address":[62],"these":[63],"issues,":[64],"we":[65,79],"propose":[66,80],"multiconstrained":[67],"heterogeneous":[68],"deep":[69],"network":[70,119],"(MHDN)":[71],"remote":[73],"detection.":[77],"Specifically,":[78],"a":[81,108],"grid-based":[82],"CNN-GNN":[83],"hybrid":[84],"(GCGH)":[85],"model":[86,98],"that":[87,142],"incorporates":[88],"sparse":[90],"connectivity":[91],"graph":[92],"into":[93],"CNN":[95],"backbone":[96],"global":[99],"correlations":[101],"more":[103],"robust":[104],"representations.":[106],"Furthermore,":[107],"cross-image":[109],"multiscale":[110],"contrastive":[111],"constraint":[112],"(CMCC)":[113],"branch":[114],"is":[115],"introduced":[116],"supervise":[118],"training":[120],"alongside":[121],"loss,":[124],"facilitates":[126],"detector":[127],"learning":[128],"presence":[131],"category":[133],"imbalance.":[134],"Experimental":[135],"on":[137],"our":[138,143],"proposed":[139],"dataset":[140,153],"demonstrate":[141],"MHDN":[144],"outperforms":[145],"state-of-the-art":[146],"object":[147],"methods.":[149],"The":[150],"code":[151],"are":[154],"available":[155],"at":[156],"<uri":[157],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[158],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/Dongxu-Wang/MHDN</uri>.":[159]},"counts_by_year":[],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2024-11-26T00:00:00"}
