{"id":"https://openalex.org/W4400033282","doi":"https://doi.org/10.1109/lgrs.2024.3419155","title":"Semi-Supervised SAR Image Change Detection via Structure-Optimized Complex-Valued Graph Contrastive Learning","display_name":"Semi-Supervised SAR Image Change Detection via Structure-Optimized Complex-Valued Graph Contrastive Learning","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4400033282","doi":"https://doi.org/10.1109/lgrs.2024.3419155"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2024.3419155","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2024.3419155","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/A5100631651","display_name":"Haolin Li","orcid":"https://orcid.org/0000-0003-1728-6714"},"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":"Haolin Li","raw_affiliation_strings":["Department of Information Engineering, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0003-1728-6714","affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000588825","display_name":"Bin Zou","orcid":"https://orcid.org/0000-0001-6135-3174"},"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":"Bin Zou","raw_affiliation_strings":["Department of Information Engineering, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0001-6135-3174","affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052182532","display_name":"Lamei Zhang","orcid":"https://orcid.org/0000-0002-3595-0001"},"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":"Lamei Zhang","raw_affiliation_strings":["Department of Information Engineering, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-3595-0001","affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011078617","display_name":"Jiang Qin","orcid":"https://orcid.org/0000-0002-6949-6556"},"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":"Jiang Qin","raw_affiliation_strings":["Department of Information Engineering, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-6949-6556","affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":2.7116,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.90960405,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"21","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":0.9994999766349792,"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":0.9994999766349792,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9825999736785889,"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/T10057","display_name":"Face and Expression Recognition","score":0.9728999733924866,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.682902991771698},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6151244044303894},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.5896589159965515},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5103740096092224},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4958840310573578},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.43832919001579285},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.4279457628726959},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18695616722106934},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.14758384227752686}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.682902991771698},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6151244044303894},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.5896589159965515},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5103740096092224},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4958840310573578},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.43832919001579285},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.4279457628726959},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18695616722106934},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.14758384227752686},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2024.3419155","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2024.3419155","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":[],"awards":[{"id":"https://openalex.org/G7614744860","display_name":null,"funder_award_id":"62271172","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2118246710","https://openalex.org/W2221448138","https://openalex.org/W2531619007","https://openalex.org/W2910587630","https://openalex.org/W3027225766","https://openalex.org/W3036453075","https://openalex.org/W3047443805","https://openalex.org/W3103695279","https://openalex.org/W3159812033","https://openalex.org/W3207451971","https://openalex.org/W3211646616","https://openalex.org/W4206218592","https://openalex.org/W4206522033","https://openalex.org/W4316022129","https://openalex.org/W4387010295","https://openalex.org/W4389610423","https://openalex.org/W4391216024","https://openalex.org/W6682541512","https://openalex.org/W6784694379"],"related_works":["https://openalex.org/W2568858292","https://openalex.org/W1515964938","https://openalex.org/W2389381914","https://openalex.org/W2376528221","https://openalex.org/W196800607","https://openalex.org/W2359428812","https://openalex.org/W3181296946","https://openalex.org/W2015705630","https://openalex.org/W2355368334","https://openalex.org/W3205829146"],"abstract_inverted_index":{"Significant":[0],"progress":[1],"has":[2],"been":[3],"achieved":[4],"by":[5],"using":[6,83],"the":[7,17,24,30,34,52,84,118,126,153,159],"graph":[8,55,91,108,114,136,144],"convolutional":[9],"network":[10,58,119,140],"(GCN)":[11],"in":[12,38],"image":[13,44,63,179],"change":[14,64,164],"detection.":[15,65],"However,":[16],"limited":[18,80,161],"quantity":[19],"of":[20,33,128,169],"labeled":[21,162],"data":[22,78],"and":[23,99],"inherent":[25],"speckle":[26,129],"noise":[27],"adversely":[28],"impact":[29,127],"generalization":[31],"ability":[32],"existing":[35],"GCN-based":[36],"methods":[37],"practical":[39],"synthetic":[40],"aperture":[41],"radar":[42],"(SAR)":[43],"applications.":[45],"To":[46],"address":[47],"these":[48],"challenges,":[49],"we":[50,67,132],"introduce":[51],"structure-optimized":[53,90],"complex-valued":[54,76,135],"contrastive":[56,137],"learning":[57,138],"(SCGCLN)":[59],"for":[60,158],"semi-supervised":[61],"SAR":[62,77,150,163,178],"Specifically,":[66],"explore":[68],"how":[69],"to":[70,120,141],"learn":[71],"effective":[72],"feature":[73,145],"representations":[74],"from":[75,148],"with":[79,107],"supervised":[81],"information":[82],"GCN":[85],"architecture.":[86],"We":[87],"present":[88],"a":[89,134,143],"reconstruction":[92],"strategy":[93],"based":[94],"on":[95,176],"optimizing":[96],"node":[97],"features":[98],"edge":[100],"structures.":[101],"By":[102],"combining":[103],"efficient":[104],"spectral":[105],"clustering":[106],"reconnection,":[109],"our":[110],"method":[111],"learns":[112],"high-quality":[113],"structures":[115],"that":[116],"enable":[117],"capture":[121],"long-range":[122],"dependencies,":[123],"thereby":[124],"mitigating":[125],"noise.":[130],"Moreover,":[131],"construct":[133],"(GCL)":[139],"train":[142],"representation":[146],"model":[147,155],"unlabeled":[149],"data.":[151],"Subsequently,":[152],"pretrained":[154],"is":[156,171],"fine-tuned":[157],"downstream":[160],"detection":[165],"task.":[166],"The":[167],"effectiveness":[168],"SCGCLN":[170],"validated":[172],"through":[173],"experimental":[174],"results":[175],"three":[177],"datasets.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}