{"id":"https://openalex.org/W4410950079","doi":"https://doi.org/10.1109/tim.2025.3573775","title":"Integrating Local and Global Features via CNN and Mamba for Semi-Supervised Change Detection","display_name":"Integrating Local and Global Features via CNN and Mamba for Semi-Supervised Change Detection","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4410950079","doi":"https://doi.org/10.1109/tim.2025.3573775"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2025.3573775","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3573775","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","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/A5102016340","display_name":"Ze Zhang","orcid":"https://orcid.org/0009-0004-4088-0070"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ze Zhang","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012286535","display_name":"Yue Zhou","orcid":"https://orcid.org/0000-0002-3080-6721"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Zhou","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035429304","display_name":"Linqing Huang","orcid":"https://orcid.org/0000-0001-6892-8006"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linqing Huang","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074129836","display_name":"Xue Jiang","orcid":"https://orcid.org/0000-0001-7099-6817"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue Jiang","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091046481","display_name":"Guozheng Xu","orcid":"https://orcid.org/0000-0002-5083-5896"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guozheng Xu","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061319150","display_name":"Xingzhao Liu","orcid":"https://orcid.org/0000-0002-4533-3904"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingzhao Liu","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5102016340"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":1.2004,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.815599,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"74","issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9894999861717224,"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":0.9894999861717224,"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":0.9491000175476074,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9279999732971191,"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":0.5731565356254578},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.4668937921524048},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.420812726020813},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41284245252609253},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3628399968147278},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.18351033329963684}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5731565356254578},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.4668937921524048},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.420812726020813},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41284245252609253},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3628399968147278},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.18351033329963684}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2025.3573775","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3573775","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2194775991","https://openalex.org/W2344191251","https://openalex.org/W2412588858","https://openalex.org/W2805152403","https://openalex.org/W2891248708","https://openalex.org/W2908320224","https://openalex.org/W2931790542","https://openalex.org/W2963073217","https://openalex.org/W2995808743","https://openalex.org/W3027225766","https://openalex.org/W3048064159","https://openalex.org/W3099503507","https://openalex.org/W3130491581","https://openalex.org/W3130754787","https://openalex.org/W3131500599","https://openalex.org/W3138516171","https://openalex.org/W3146366485","https://openalex.org/W3167976421","https://openalex.org/W3171581326","https://openalex.org/W3180045188","https://openalex.org/W3184878892","https://openalex.org/W3195032332","https://openalex.org/W3209374680","https://openalex.org/W4200004275","https://openalex.org/W4220936840","https://openalex.org/W4224301858","https://openalex.org/W4226228401","https://openalex.org/W4285173877","https://openalex.org/W4285243313","https://openalex.org/W4312549298","https://openalex.org/W4312893921","https://openalex.org/W4316660708","https://openalex.org/W4321488161","https://openalex.org/W4321488301","https://openalex.org/W4362653113","https://openalex.org/W4367721714","https://openalex.org/W4384787738","https://openalex.org/W4386075981","https://openalex.org/W4389326242","https://openalex.org/W4391013663","https://openalex.org/W4391047432","https://openalex.org/W4392114290","https://openalex.org/W4392173911","https://openalex.org/W4392693971","https://openalex.org/W4394007483","https://openalex.org/W4399154429","https://openalex.org/W4399666241","https://openalex.org/W4399849882","https://openalex.org/W4400448280","https://openalex.org/W4401568042","https://openalex.org/W4402899258","https://openalex.org/W4404214611","https://openalex.org/W6637373629","https://openalex.org/W6773005947","https://openalex.org/W6803444062","https://openalex.org/W6859298233","https://openalex.org/W6861342692","https://openalex.org/W6861387779"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2568858292","https://openalex.org/W1515964938","https://openalex.org/W2389381914","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Semi-supervised":[0],"change":[1],"detection":[2],"(SSCD)":[3],"has":[4],"become":[5],"increasingly":[6],"important":[7],"in":[8],"remote":[9],"sensing":[10],"image":[11,100,213],"(RSI)":[12],"analysis":[13],"due":[14],"to":[15,63,83,105,200,210],"the":[16,49,65,103,140,174,181],"scarcity":[17],"of":[18,142,220],"labeled":[19],"data.":[20],"While":[21],"state-of-the-art":[22,245],"SSCD":[23,119],"methods":[24],"have":[25],"achieved":[26],"notable":[27],"results":[28],"through":[29],"pseudo-labeling":[30],"and":[31,90,124,129,144,192,240],"weak-to-strong":[32],"consistency":[33,97,209],"regularization":[34],"with":[35,48,122,161,197],"various":[36],"perturbations,":[37,81],"they":[38],"face":[39],"several":[40,244],"inherent":[41],"limitations:":[42],"(1)":[43],"learners":[44,134],"(models":[45],"or":[46,58,79],"architectures":[47],"same":[50],"design)":[51],"often":[52,73],"focus":[53],"exclusively":[54],"on":[55,95,228],"either":[56],"local":[57,143,153,195],"global":[59,145,198,208],"features,":[60],"which":[61,126,185],"fails":[62],"capture":[64,106,211],"intricate":[66],"bi-temporal":[67],"difference":[68,187],"feature;":[69],"(2)":[70],"low-quality":[71],"pseudo-labels,":[72],"resulting":[74],"from":[75],"inadequate":[76],"learner":[77],"diversity":[78],"suboptimal":[80],"struggle":[82],"reflect":[84],"accurate":[85],"changes,":[86],"exacerbating":[87],"confirmation":[88],"bias,":[89],"(3)":[91],"a":[92,117,136,216],"predominant":[93],"emphasis":[94],"pixel-level":[96,224],"overlooks":[98],"broader":[99,212],"context,":[101,214],"limiting":[102],"ability":[104],"complex,":[107],"large-scale":[108,170],"spatiotemporal":[109,221],"changes.":[110],"To":[111,172],"address":[112],"these":[113,177],"challenges,":[114],"we":[115,179,205],"propose":[116],"novel":[118],"framework,":[120],"Cross-Supervision":[121],"CNN":[123,128,148,191],"Mamba,":[125,193],"adopts":[127],"Mamba":[130,156],"as":[131],"two":[132],"independent":[133],"within":[135],"cross-supervision":[137],"mechanism,":[138],"enabling":[139],"integration":[141],"feature":[146],"representations.":[147],"excels":[149],"at":[150],"capturing":[151],"fine-grained":[152],"details,":[154],"while":[155],"efficiently":[157],"models":[158],"long-range":[159],"dependencies":[160],"linear":[162],"complexity,":[163],"making":[164],"it":[165],"particularly":[166],"well-suited":[167],"for":[168],"processing":[169],"RSIs.":[171],"enhance":[173],"collaboration":[175],"between":[176],"architectures,":[178],"introduce":[180],"Cross-Architecture":[182],"Fusion":[183],"Module,":[184],"fuses":[186],"features":[188],"extracted":[189],"by":[190],"combining":[194],"sensitivity":[196],"awareness":[199],"produce":[201],"refined":[202],"pseudo-labels.":[203],"Additionally,":[204],"incorporate":[206],"instance-level":[207],"ensuring":[215],"more":[217],"comprehensive":[218],"understanding":[219],"changes":[222],"beyond":[223],"consistency.":[225],"Extensive":[226],"experiments":[227],"three":[229],"public":[230],"datasets":[231],"demonstrate":[232],"that":[233],"our":[234],"approach":[235],"significantly":[236],"enhances":[237],"CD":[238],"accuracy":[239],"training":[241],"efficiency,":[242],"outperforming":[243],"methods.":[246]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
