{"id":"https://openalex.org/W7104039795","doi":"https://doi.org/10.1109/lgrs.2025.3629303","title":"Efficient Remote Sensing Change Detection With Change State Space Models","display_name":"Efficient Remote Sensing Change Detection With Change State Space Models","publication_year":2025,"publication_date":"2025-11-05","ids":{"openalex":"https://openalex.org/W7104039795","doi":"https://doi.org/10.1109/lgrs.2025.3629303"},"language":null,"primary_location":{"id":"doi:10.1109/lgrs.2025.3629303","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3629303","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":null,"display_name":"Elman Ghazaei","orcid":"https://orcid.org/0009-0007-8064-6205"},"institutions":[{"id":"https://openalex.org/I134235054","display_name":"Sabanc\u0131 \u00dcniversitesi","ror":"https://ror.org/049asqa32","country_code":"TR","type":"education","lineage":["https://openalex.org/I134235054"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Elman Ghazaei","raw_affiliation_strings":["Faculty of Engineering and Natural Sciences (VPALab), Sabanci University, Istanbul, Türkiye"],"raw_orcid":"https://orcid.org/0009-0007-8064-6205","affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Natural Sciences (VPALab), Sabanci University, Istanbul, Türkiye","institution_ids":["https://openalex.org/I134235054"]}]},{"author_position":"last","author":{"id":null,"display_name":"Erchan Aptoula","orcid":"https://orcid.org/0000-0001-6168-2883"},"institutions":[{"id":"https://openalex.org/I134235054","display_name":"Sabanc\u0131 \u00dcniversitesi","ror":"https://ror.org/049asqa32","country_code":"TR","type":"education","lineage":["https://openalex.org/I134235054"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Erchan Aptoula","raw_affiliation_strings":["Faculty of Engineering and Natural Sciences (VPALab), Sabanci University, Istanbul, Türkiye"],"raw_orcid":"https://orcid.org/0000-0001-6168-2883","affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Natural Sciences (VPALab), Sabanci University, Istanbul, Türkiye","institution_ids":["https://openalex.org/I134235054"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I134235054"],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":1.3452,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.83477322,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"23","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":0.9940999746322632,"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":0.9940999746322632,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.002300000051036477,"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"}},{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/change-detection","display_name":"Change detection","score":0.8364999890327454},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7717999815940857},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5478000044822693},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.476500004529953},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.41850000619888306},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.38019999861717224},{"id":"https://openalex.org/keywords/space-technology","display_name":"Space technology","score":0.36160001158714294},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.3571000099182129},{"id":"https://openalex.org/keywords/computational-model","display_name":"Computational model","score":0.34220001101493835}],"concepts":[{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.8364999890327454},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7717999815940857},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7250999808311462},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5480999946594238},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5478000044822693},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5022000074386597},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.476500004529953},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4440999925136566},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.41850000619888306},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.38019999861717224},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36899998784065247},{"id":"https://openalex.org/C77304879","wikidata":"https://www.wikidata.org/wiki/Q211485","display_name":"Space technology","level":2,"score":0.36160001158714294},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3571000099182129},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.34220001101493835},{"id":"https://openalex.org/C118365302","wikidata":"https://www.wikidata.org/wiki/Q4817115","display_name":"Atmospheric model","level":2,"score":0.32120001316070557},{"id":"https://openalex.org/C52918065","wikidata":"https://www.wikidata.org/wiki/Q230945","display_name":"State-space representation","level":2,"score":0.31470000743865967},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.3100000023841858},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.2971000075340271},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2948000133037567},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.28999999165534973},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2888000011444092},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2752000093460083},{"id":"https://openalex.org/C127964446","wikidata":"https://www.wikidata.org/wiki/Q1092142","display_name":"Computational resource","level":3,"score":0.26589998602867126},{"id":"https://openalex.org/C183365957","wikidata":"https://www.wikidata.org/wiki/Q17140402","display_name":"Remote sensing application","level":3,"score":0.26510000228881836},{"id":"https://openalex.org/C104060986","wikidata":"https://www.wikidata.org/wiki/Q180046","display_name":"Space exploration","level":2,"score":0.2644999921321869},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26080000400543213},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.2581999897956848},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.2500999867916107}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2025.3629303","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3629303","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":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2165577558","https://openalex.org/W2805152403","https://openalex.org/W2891248708","https://openalex.org/W2896365540","https://openalex.org/W2908320224","https://openalex.org/W2997043451","https://openalex.org/W3027225766","https://openalex.org/W3036453075","https://openalex.org/W3130754787","https://openalex.org/W3176330035","https://openalex.org/W3180045188","https://openalex.org/W4226228401","https://openalex.org/W4226361741","https://openalex.org/W4312549298","https://openalex.org/W4362653113","https://openalex.org/W4378804791","https://openalex.org/W4386299129","https://openalex.org/W4391467945","https://openalex.org/W4394007483","https://openalex.org/W4400448280","https://openalex.org/W4404238700","https://openalex.org/W4408166154","https://openalex.org/W4408519682","https://openalex.org/W4411640087","https://openalex.org/W4413465384"],"related_works":[],"abstract_inverted_index":{"ConvNets":[0],"and":[1,103,123],"Vision":[2,34],"Transformers":[3],"(ViTs)":[4],"have":[5],"been":[6,42,49],"widely":[7],"used":[8],"for":[9,72],"change":[10,73],"detection,":[11,74],"though":[12],"they":[13],"exhibit":[14],"limitations:":[15],"long-range":[16],"dependencies":[17],"are":[18,28],"not":[19],"effectively":[20],"captured":[21],"by":[22],"the":[23,26,60,93],"former,":[24],"while":[25,85],"latter":[27],"associated":[29],"with":[30],"high":[31],"computational":[32,99,130],"demands.":[33],"Mamba,":[35],"based":[36],"on":[37,79,110],"State":[38,62],"Space":[39,63],"Models,":[40],"has":[41,48],"proposed":[43],"as":[44,52,68],"an":[45],"alternative,":[46],"yet":[47],"primarily":[50],"utilized":[51],"a":[53,69,127],"feature":[54],"extraction":[55],"backbone.":[56],"In":[57],"this":[58,91],"work,":[59],"Change":[61],"Model":[64],"(CSSM)":[65],"is":[66,97,101,105,108,117],"introduced":[67],"task-specific":[70],"approach":[71],"designed":[75],"to":[76,120],"focus":[77],"exclusively":[78],"relevant":[80],"changes":[81],"between":[82],"bi-temporal":[83],"images":[84],"filtering":[86],"out":[87],"irrelevant":[88],"information.":[89],"Through":[90],"design,":[92],"number":[94],"of":[95],"parameters":[96],"reduced,":[98],"efficiency":[100],"improved,":[102],"robustness":[104],"enhanced.":[106],"CSSM":[107],"evaluated":[109],"three":[111],"benchmark":[112],"datasets,":[113],"where":[114],"superior":[115],"performance":[116],"achieved":[118],"compared":[119],"ConvNets,":[121],"ViTs,":[122],"Mamba-based":[124],"models,":[125],"at":[126,139],"significantly":[128],"lower":[129],"cost.":[131],"The":[132],"code":[133],"will":[134],"be":[135],"made":[136],"publicly":[137],"available":[138],"https://github.com/Elman295/CSSM":[140],"upon":[141],"acceptance.":[142]},"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-11-06T00:00:00"}