{"id":"https://openalex.org/W4414798848","doi":"https://doi.org/10.1109/jstars.2025.3617528","title":"Spatial\u2013Temporal Feature Interaction and Multiscale Frequency-Domain Fusion Network for Remote Sensing Change Detection","display_name":"Spatial\u2013Temporal Feature Interaction and Multiscale Frequency-Domain Fusion Network for Remote Sensing Change Detection","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4414798848","doi":"https://doi.org/10.1109/jstars.2025.3617528"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2025.3617528","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3617528","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/jstars.2025.3617528","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101544428","display_name":"Bin Cai","orcid":"https://orcid.org/0000-0002-3357-1681"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Cai","raw_affiliation_strings":["School of Automation, Jiangsu University of Science and Technology, Zhenjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Jiangsu University of Science and Technology, Zhenjiang, China","institution_ids":["https://openalex.org/I4210096899"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017041136","display_name":"Yinglei Song","orcid":"https://orcid.org/0000-0003-3982-7657"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinglei Song","raw_affiliation_strings":["School of Automation, Jiangsu University of Science and Technology, Zhenjiang, China"],"raw_orcid":"https://orcid.org/0000-0003-3982-7657","affiliations":[{"raw_affiliation_string":"School of Automation, Jiangsu University of Science and Technology, Zhenjiang, China","institution_ids":["https://openalex.org/I4210096899"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210096899"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":0.762,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.78415431,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"18","issue":null,"first_page":"25640","last_page":"25653"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9714999794960022,"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":0.9714999794960022,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9710000157356262,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7200999855995178},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7053999900817871},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.6934999823570251},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.614799976348877},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.5084999799728394},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4708000123500824},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46140000224113464},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.45089998841285706}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7818999886512756},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7200999855995178},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7053999900817871},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.6934999823570251},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.614799976348877},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.5084999799728394},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4934999942779541},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.48579999804496765},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4708000123500824},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46140000224113464},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.45089998841285706},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.43799999356269836},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3596999943256378},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.35670000314712524},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3197000026702881},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3037000000476837},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.301800012588501},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.29179999232292175},{"id":"https://openalex.org/C183365957","wikidata":"https://www.wikidata.org/wiki/Q17140402","display_name":"Remote sensing application","level":3,"score":0.2565999925136566},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.2540999948978424}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2025.3617528","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3617528","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c3329fd042584fe49ca2166f8bf7159c","is_oa":true,"landing_page_url":"https://doaj.org/article/c3329fd042584fe49ca2166f8bf7159c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 25640-25653 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2025.3617528","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3617528","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7694177140","display_name":null,"funder_award_id":"1132921208","funder_id":"https://openalex.org/F4320327500","funder_display_name":"Jiangsu University of Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320327500","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Remote":[0],"sensing":[1,14],"change":[2,15,28],"detection":[3,16],"is":[4,120,156],"fundamental":[5],"to":[6,44,101,122,133,158,193],"monitoring":[7],"Earth's":[8],"surface":[9],"dynamics.":[10],"Deep":[11],"learning-based":[12],"remote":[13],"approaches":[17],"have":[18],"achieved":[19],"remarkable":[20],"advancements":[21],"in":[22],"recent":[23],"years.":[24],"However,":[25],"accurately":[26],"identifying":[27],"regions":[29],"under":[30],"complex":[31],"backgrounds":[32],"and":[33,76,109,130,136,184],"various":[34],"interference":[35],"factors":[36],"remains":[37,59],"a":[38,67,88,95,114],"challenging":[39],"task.":[40],"Existing":[41],"methods":[42],"fail":[43],"effectively":[45,134],"explore":[46],"the":[47,54,81,107,142,149,166,169],"interaction":[48,75,98],"between":[49,106],"bitemporal":[50,83,124],"features.":[51,125,139],"In":[52],"addition,":[53],"modeling":[55],"of":[56,168],"difference":[57,138,151],"features":[58,84],"insufficient.":[60],"To":[61,164],"overcome":[62],"these":[63],"limitations,":[64],"we":[65,93],"propose":[66],"novel":[68],"network":[69],"(SIMFNet)":[70],"based":[71],"on":[72,176],"spatial-temporal":[73,96],"feature":[74,97,147,152],"multiscale":[77,115],"frequency-domain":[78,116],"fusion.":[79],"First,":[80],"multilevel":[82],"are":[85,174],"extracted":[86],"through":[87],"Siamese":[89],"hierarchical":[90],"backbone.":[91],"Subsequently,":[92],"design":[94],"module":[99,118,127,154],"(STFI)":[100],"establish":[102],"cross-temporal":[103],"semantic":[104,143],"relations":[105],"pre-change":[108],"post-change":[110],"images.":[111],"Following":[112],"this,":[113],"fusion":[117],"(MFDF)":[119],"employed":[121],"fuse":[123],"This":[126],"combines":[128],"spatial":[129],"frequency":[131],"information":[132],"extract":[135],"refine":[137],"Finally,":[140],"considering":[141],"disparities":[144],"among":[145],"different":[146],"levels,":[148],"inter-level":[150,161],"aggregation":[153],"(IDFA)":[155],"proposed":[157,170],"adaptively":[159],"aggregate":[160],"contextual":[162],"information.":[163],"validate":[165],"efficacy":[167],"SIMFNet,":[171],"extensive":[172],"experiments":[173],"conducted":[175],"three":[177],"public":[178],"RSCD":[179],"benchmark":[180],"datasets:":[181],"LEVIR-CD,":[182],"WHU-CD,":[183],"SYSU-CD.":[185],"The":[186],"results":[187],"consistently":[188],"show":[189],"superior":[190],"performance":[191],"compared":[192],"existing":[194],"state-of-the-art":[195],"methods.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-04T00:00:00"}
