{"id":"https://openalex.org/W4412943281","doi":"https://doi.org/10.1088/1742-6596/3072/1/012001","title":"SCCNet: Siamese Networks for Selective Change Captioning in Bi-Temporal Remote Sensing Images","display_name":"SCCNet: Siamese Networks for Selective Change Captioning in Bi-Temporal Remote Sensing Images","publication_year":2025,"publication_date":"2025-08-01","ids":{"openalex":"https://openalex.org/W4412943281","doi":"https://doi.org/10.1088/1742-6596/3072/1/012001"},"language":"en","primary_location":{"id":"doi:10.1088/1742-6596/3072/1/012001","doi":"https://doi.org/10.1088/1742-6596/3072/1/012001","is_oa":true,"landing_page_url":"https://doi.org/10.1088/1742-6596/3072/1/012001","pdf_url":null,"source":{"id":"https://openalex.org/S4210187594","display_name":"Journal of Physics Conference Series","issn_l":"1742-6588","issn":["1742-6588","1742-6596"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","jufo-1","norway-1","poland-40","vabb-shw"],"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Physics: Conference Series","raw_type":"journal-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1088/1742-6596/3072/1/012001","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067862178","display_name":"Shiyu Hu","orcid":"https://orcid.org/0000-0001-7583-7460","observed_orcids":["https://orcid.org/0000-0001-7583-7460"]},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiyu Hu","raw_affiliation_strings":["College of Computer Science and Technology & Qingdao Institute of Software & Shandong Key Laboratory of Intelligent Oil and Gas Industrial Software, China University of Petroleum (East China), Qingdao 266580, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology & Qingdao Institute of Software & Shandong Key Laboratory of Intelligent Oil and Gas Industrial Software, China University of Petroleum (East China), Qingdao 266580, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060069352","display_name":"Shaojiang Yuan","orcid":"https://orcid.org/0000-0002-8757-9646","observed_orcids":["https://orcid.org/0000-0002-8757-9646"]},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaojiang Yuan","raw_affiliation_strings":["College of Computer Science and Technology & Qingdao Institute of Software & Shandong Key Laboratory of Intelligent Oil and Gas Industrial Software, China University of Petroleum (East China), Qingdao 266580, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology & Qingdao Institute of Software & Shandong Key Laboratory of Intelligent Oil and Gas Industrial Software, China University of Petroleum (East China), Qingdao 266580, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033366428","display_name":"Jia Lin Song","orcid":"https://orcid.org/0000-0002-4019-970X","observed_orcids":["https://orcid.org/0000-0002-4019-970X"]},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Song","raw_affiliation_strings":["College of Computer Science and Technology & Qingdao Institute of Software & Shandong Key Laboratory of Intelligent Oil and Gas Industrial Software, China University of Petroleum (East China), Qingdao 266580, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology & Qingdao Institute of Software & Shandong Key Laboratory of Intelligent Oil and Gas Industrial Software, China University of Petroleum (East China), Qingdao 266580, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030724247","display_name":"Chenglizhao Chen","orcid":"https://orcid.org/0000-0001-9982-5667","observed_orcids":["https://orcid.org/0000-0001-9982-5667"]},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenglizhao Chen","raw_affiliation_strings":["College of Computer Science and Technology & Qingdao Institute of Software & Shandong Key Laboratory of Intelligent Oil and Gas Industrial Software, China University of Petroleum (East China), Qingdao 266580, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology & Qingdao Institute of Software & Shandong Key Laboratory of Intelligent Oil and Gas Industrial Software, China University of Petroleum (East China), Qingdao 266580, China","institution_ids":["https://openalex.org/I4210162190"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210162190"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3072","issue":"1","first_page":"012001","last_page":"012001"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9990000128746033,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.00039999998989515007,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"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/bi-temporal-remote-sensing-images","display_name":"bi-temporal remote sensing images","score":0.9129999876022339},{"id":"https://openalex.org/keywords/siamese-network","display_name":"Siamese network","score":0.890999972820282}],"concepts":[{"id":"https://openalex.org/C157657479","wikidata":"https://www.wikidata.org/wiki/Q2367247","display_name":"Closed captioning","level":3,"score":0.885768473148346},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5335211157798767},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4908955693244934},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.4413588345050812},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3565729260444641},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3317070007324219},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2433260679244995},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22501438856124878}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1088/1742-6596/3072/1/012001","doi":"https://doi.org/10.1088/1742-6596/3072/1/012001","is_oa":true,"landing_page_url":"https://doi.org/10.1088/1742-6596/3072/1/012001","pdf_url":null,"source":{"id":"https://openalex.org/S4210187594","display_name":"Journal of Physics Conference Series","issn_l":"1742-6588","issn":["1742-6588","1742-6596"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","jufo-1","norway-1","poland-40","vabb-shw"],"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Physics: Conference Series","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1088/1742-6596/3072/1/012001","doi":"https://doi.org/10.1088/1742-6596/3072/1/012001","is_oa":true,"landing_page_url":"https://doi.org/10.1088/1742-6596/3072/1/012001","pdf_url":null,"source":{"id":"https://openalex.org/S4210187594","display_name":"Journal of Physics Conference Series","issn_l":"1742-6588","issn":["1742-6588","1742-6596"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","jufo-1","norway-1","poland-40","vabb-shw"],"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Physics: Conference Series","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.5351999998092651,"display_name":"Climate action"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1499255288","https://openalex.org/W1686810756","https://openalex.org/W1979061792","https://openalex.org/W2938232066","https://openalex.org/W3120467244","https://openalex.org/W3140300848","https://openalex.org/W3207627484","https://openalex.org/W4313021481","https://openalex.org/W4387802245","https://openalex.org/W4389104748","https://openalex.org/W4398249074","https://openalex.org/W4404316994","https://openalex.org/W4408792056","https://openalex.org/W4408840974","https://openalex.org/W7114799646"],"related_works":["https://openalex.org/W4409610465","https://openalex.org/W7125603180","https://openalex.org/W4389286266","https://openalex.org/W4404316994","https://openalex.org/W7114780291","https://openalex.org/W7147256225","https://openalex.org/W7160294147","https://openalex.org/W4402742840","https://openalex.org/W4412006751","https://openalex.org/W4416726674"],"abstract_inverted_index":{"Abstract":[0],"Remote":[1],"Sensing":[2],"Image":[3],"Change":[4],"Captioning":[5],"(RSICC)":[6],"is":[7],"a":[8,98],"burgeoning":[9],"task":[10],"that":[11],"aims":[12],"to":[13,146],"articulate":[14],"change":[15],"scenarios":[16],"in":[17,50],"bi-temporal":[18,33,51,124],"remote":[19,34],"sensing":[20,35],"images":[21,36],"using":[22],"natural":[23],"languages.":[24],"The":[25,114,136],"existing":[26,69],"methods":[27],"effectively":[28],"capture":[29],"feature":[30,85],"differences":[31],"between":[32],"and":[37,53,84,96,101,119,127],"realistic":[38],"language":[39],"decoders":[40],"for":[41],"accurate":[42],"interpretation.":[43],"Notably,":[44],"not":[45],"all":[46],"regions":[47],"exhibit":[48,77],"changes":[49,57],"images,":[52],"the":[54,64,78,94,133],"presence/absence":[55],"of":[56,80,122,132],"inherently":[58],"imposes":[59],"distinct":[60],"difficulty":[61],"levels":[62],"on":[63,142],"RSICC":[65],"tasks.":[66],"Although":[67],"several":[68],"approaches":[70],"have":[71],"discussed":[72],"this":[73],"issue,":[74],"they":[75],"frequently":[76],"problem":[79],"unstable":[81],"classification":[82],"outcomes":[83],"loss":[86],"during":[87],"spatiotemporal":[88],"joint":[89],"modeling.":[90],"This":[91],"paper":[92],"optimizes":[93],"classifier":[95],"implements":[97],"siamese":[99],"network":[100],"dual-temporal":[102],"image":[103,125],"features":[104],"fusion":[105],"module,":[106],"correlating":[107],"spatial":[108],"structures":[109],"across":[110],"temporal":[111],"sequences":[112],"comprehensively.":[113],"proposed":[115,137],"framework":[116],"enables":[117],"efficient":[118],"reliable":[120],"detection":[121],"changed":[123],"pairs":[126],"generates":[128],"precise":[129],"textual":[130],"descriptions":[131],"identified":[134],"alterations.":[135],"method":[138],"achieves":[139],"superior":[140],"performance":[141],"public":[143],"datasets":[144],"compared":[145],"state-of-the-art":[147],"methods.":[148]},"counts_by_year":[],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2025-10-10T00:00:00"}
